diff --git a/data/data_analyst_20241229.csv b/data/data_analyst_20241229.csv new file mode 100644 index 0000000..0c47332 --- /dev/null +++ b/data/data_analyst_20241229.csv @@ -0,0 +1,303 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +4107166562,https://ca.linkedin.com/jobs/view/data-analyst-new-grad-at-stripe-4107166562?position=1&pageNum=0&refId=n0p%2FIVFJVeKcuwEFVtiCgw%3D%3D&trackingId=9dHgJ%2BAtha2D3a2oqYa0TQ%3D%3D,"Data Analyst, New Grad",Stripe,"Toronto, Ontario, Canada","About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background. + +What you'll do + +In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling. + +Who you are + +We’re looking for fresh graduates who meet the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +Enrolled in a quantitative Master’s program (e.g. Business Intelligence Engineering, Statistics, Mathematics, Science, Engineering, Economics, or Computer Science) with the expectation of graduating in winter 2024 or spring/summer 2025 +Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present! +Strong statistical knowledge +Expertise in visualization and using data insights to make recommendations and achieve goals +Proven ability to manage and deliver on multiple projects with great attention to detail +Ability to clearly communicate results and drive impact +Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights + + + +Preferred Qualifications + + +Experience writing and debugging data pipelines +Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects +Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts +This role is not eligible for hire in the Greater Seattle Area, San Francisco Bay Area, or New York City. We are hiring these positions in Chicago, IL or Toronto, Ontario, Canada. + + + +Hybrid work at Stripe + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +Pay and benefits + +The annual US base salary range for this role is $144,300 - $216,500. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. + +Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. +Show more ","
+ + + + + +
+
+ About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About The Team

Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

Who you are

We’re looking for fresh graduates who meet the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

  • Enrolled in a quantitative Master’s program (e.g. Business Intelligence Engineering, Statistics, Mathematics, Science, Engineering, Economics, or Computer Science) with the expectation of graduating in winter 2024 or spring/summer 2025
  • Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
  • Strong statistical knowledge
  • Expertise in visualization and using data insights to make recommendations and achieve goals
  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact
  • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights


Preferred Qualifications

  • Experience writing and debugging data pipelines
  • Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
  • Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
  • This role is not eligible for hire in the Greater Seattle Area, San Francisco Bay Area, or New York City. We are hiring these positions in Chicago, IL or Toronto, Ontario, Canada.


Hybrid work at Stripe

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

Pay and benefits

The annual US base salary range for this role is $144,300 - $216,500. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-21,[] +3847778634,https://ca.linkedin.com/jobs/view/data-analyst-at-stripe-3847778634?position=2&pageNum=0&refId=n0p%2FIVFJVeKcuwEFVtiCgw%3D%3D&trackingId=wNBVvIG0qAB%2Bw1BcNH0Xrg%3D%3D,Data Analyst,Stripe,"Toronto, Ontario, Canada","About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background. + +What you'll do + +In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling. + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems +Proficiency in SQL and Python +Strong statistical knowledge +Expertise in visualization and using data insights to make recommendations and achieve goals +Proven ability to manage and deliver on multiple projects with great attention to detail +Ability to clearly communicate results and drive impact +Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights. + + + +Preferred Qualifications + + +Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field. +Prior experience at a growth stage internet or software company. +Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines. +Good understanding of development processes and best practices like engineering standards, code reviews, and testing. + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual salary range for this role in the primary location is C$128,700 - C$174,100. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. + +Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +Show more ","
+ + + + + +
+
+ About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About The Team

Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

  • 2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
  • Proficiency in SQL and Python
  • Strong statistical knowledge
  • Expertise in visualization and using data insights to make recommendations and achieve goals
  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact
  • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.


Preferred Qualifications

  • Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
  • Prior experience at a growth stage internet or software company.
  • Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing.


Hybrid work at Stripe

This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

Pay and benefits

The annual salary range for this role in the primary location is C$128,700 - C$174,100. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-02,[] +3847781424,https://ca.linkedin.com/jobs/view/data-analyst-at-stripe-3847781424?position=3&pageNum=0&refId=n0p%2FIVFJVeKcuwEFVtiCgw%3D%3D&trackingId=gzUAr8uvJFAgCkdBZibgbA%3D%3D,Data Analyst,Stripe,Canada,"About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background. + +What you'll do + +In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling. + +Who you are + +We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems +Proficiency in SQL and Python +Strong statistical knowledge +Expertise in visualization and using data insights to make recommendations and achieve goals +Proven ability to manage and deliver on multiple projects with great attention to detail +Ability to clearly communicate results and drive impact +Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights. + + + +Preferred Qualifications + + +Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field. +Prior experience at a growth stage internet or software company. +Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines. +Good understanding of development processes and best practices like engineering standards, code reviews, and testing. + + + +Hybrid work at Stripe + +This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. + +Pay and benefits + +The annual salary range for this role in the primary location is C$128,700 - C$174,100. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process. + +Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +Show more ","
+ + + + + +
+
+ About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About The Team

Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

  • 2-8+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
  • Proficiency in SQL and Python
  • Strong statistical knowledge
  • Expertise in visualization and using data insights to make recommendations and achieve goals
  • Proven ability to manage and deliver on multiple projects with great attention to detail
  • Ability to clearly communicate results and drive impact
  • Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.


Preferred Qualifications

  • Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
  • Prior experience at a growth stage internet or software company.
  • Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
  • Good understanding of development processes and best practices like engineering standards, code reviews, and testing.


Hybrid work at Stripe

This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

Pay and benefits

The annual salary range for this role in the primary location is C$128,700 - C$174,100. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-02,[] diff --git a/data/data_scientist_20241229.csv b/data/data_scientist_20241229.csv new file mode 100644 index 0000000..f33502a --- /dev/null +++ b/data/data_scientist_20241229.csv @@ -0,0 +1,5192 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +4090114604,https://uk.linkedin.com/jobs/view/data-scientist-at-cint-4090114604?position=1&pageNum=0&refId=F2li7VUoPMWQ0XlCGMwQSg%3D%3D&trackingId=onVNfFML3RpHEGLVgWr7OQ%3D%3D,Data Scientist,Cint,"London, England, United Kingdom","Company Description + +Who We Are + +Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. + +We are feeding the world’s curiosity! + +Job Description + +The Opportunity + +As a Data Scientist – Platform Intelligence at Cint, reporting to the VP of Data Science and Analytics, you will provide insights to support the development of new products, enhance the performance of existing ones, and deliver data-driven product solutions in collaboration with product and engineering teams. + +You will also be working with Commercial, Operations, and Finance teams to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. + +What You Will Do + + +Develop a comprehensive, predictive understanding of marketplace dynamics, including price elasticity and demand/supply balance, and their underlying mechanics. +Support ad-hoc requests from stakeholders by conducting exploratory analyses to deepen insights into metrics and trends. Perform A/B testing and other experiments as needed. +Define statistical and machine learning methods, establish modeling standards, and drive their development. +Collaborate with cross-functional teams to design, implement, and test new and existing products. +Create clear, effective deliverables that communicate insights and recommendations through visualizations and presentations tailored to diverse audiences. + + +Qualifications + +What We Are Looking For + + +Minimum 2+ years of solid experience in a data science role. +Master's degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. +Strong ability to manipulate, analyze, and interpret large datasets. +In-depth understanding of statistical techniques and concepts (e.g., distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression, predictive modeling). +Solid knowledge of machine learning techniques (e.g., clustering, regression, decision trees) and their practical applications and limitations. +Experience applying statistical and modeling techniques in real-world scenarios. +Proficient in Python (for statistical and ML tools). +Proficient in SQL and handling large-scale databases. +Comfortable researching and adopting new methods, tools, and techniques + + +Essential Qualities + + +Highly accountable self-starter and quick learner, motivated to deliver results +Data driven with the ability to translate abstract requests into actionable initiatives +Excellent written and verbal communication skills, with the ability to explain and defend analytical techniques to non-experts +Ability to understand the big picture while ensuring attention to detai + + +Additional Information + +Bonus Points If You Have + + +Experience with online market research methods/products +Experience in Identity graph methodologies +Experience with Identity vendors +Experience working with big data technologies (e.g. Spark) + + +Our Values + +Collaboration is our superpower + + +We uncover rich perspectives across the world +Success happens together +We deliver across borders. + + +Innovation is in our blood + + +We’re pioneers in our industry +Our curiosity is insatiable +We bring the best ideas to life. + + +We Do What We Say + + +We’re accountable for our work and actions +Excellence comes as standard +We’re open, honest and kind, always. + + +We are caring + + +We learn from each other’s experiences +Stop and listen; every opinion matters +We embrace diversity, equity and inclusion. + + +More About Cint + +In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. + +Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com) + + +Show more ","
+ + + + + +
+
+ Company Description

Who We Are

Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.

We are feeding the world’s curiosity!

Job Description

The Opportunity

As a Data Scientist – Platform Intelligence at Cint, reporting to the VP of Data Science and Analytics, you will provide insights to support the development of new products, enhance the performance of existing ones, and deliver data-driven product solutions in collaboration with product and engineering teams.

You will also be working with Commercial, Operations, and Finance teams to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners.

What You Will Do

  • Develop a comprehensive, predictive understanding of marketplace dynamics, including price elasticity and demand/supply balance, and their underlying mechanics.
  • Support ad-hoc requests from stakeholders by conducting exploratory analyses to deepen insights into metrics and trends. Perform A/B testing and other experiments as needed.
  • Define statistical and machine learning methods, establish modeling standards, and drive their development.
  • Collaborate with cross-functional teams to design, implement, and test new and existing products.
  • Create clear, effective deliverables that communicate insights and recommendations through visualizations and presentations tailored to diverse audiences.

Qualifications

What We Are Looking For

  • Minimum 2+ years of solid experience in a data science role.
  • Master's degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field.
  • Strong ability to manipulate, analyze, and interpret large datasets.
  • In-depth understanding of statistical techniques and concepts (e.g., distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression, predictive modeling).
  • Solid knowledge of machine learning techniques (e.g., clustering, regression, decision trees) and their practical applications and limitations.
  • Experience applying statistical and modeling techniques in real-world scenarios.
  • Proficient in Python (for statistical and ML tools).
  • Proficient in SQL and handling large-scale databases.
  • Comfortable researching and adopting new methods, tools, and techniques

Essential Qualities

  • Highly accountable self-starter and quick learner, motivated to deliver results
  • Data driven with the ability to translate abstract requests into actionable initiatives
  • Excellent written and verbal communication skills, with the ability to explain and defend analytical techniques to non-experts
  • Ability to understand the big picture while ensuring attention to detai

Additional Information

Bonus Points If You Have

  • Experience with online market research methods/products
  • Experience in Identity graph methodologies
  • Experience with Identity vendors
  • Experience working with big data technologies (e.g. Spark)

Our Values

Collaboration is our superpower

  • We uncover rich perspectives across the world
  • Success happens together
  • We deliver across borders.

Innovation is in our blood

  • We’re pioneers in our industry
  • Our curiosity is insatiable
  • We bring the best ideas to life.

We Do What We Say

  • We’re accountable for our work and actions
  • Excellence comes as standard
  • We’re open, honest and kind, always.

We are caring

  • We learn from each other’s experiences
  • Stop and listen; every opinion matters
  • We embrace diversity, equity and inclusion.

More About Cint

In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.

Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-04,[] +4089958104,https://uk.linkedin.com/jobs/view/junior-data-scientist-at-reply-4089958104?position=3&pageNum=0&refId=F2li7VUoPMWQ0XlCGMwQSg%3D%3D&trackingId=Kv4K9cKXtPERzLQX5KxnIg%3D%3D,Junior Data Scientist,Reply,"Greater London, England, United Kingdom","Junior Data Scientist + + + + +About AIM Reply: + +AIM Reply’s aspiration is to enable enterprises to leverage, industrialise, and monetise Artificial Intelligence capabilities for business transformation, growth, and value. The guiding mission is to establish a world-class boutique AI consulting and services firm. Brought together with a set of industry-focused offerings (Retail/FMCG; Manufacturing/Logistics and Financial Services/Insurance), dedicated partnerships with big tech companies, and a network of AI start-ups. + +Responsibilities: + +Collaborate with senior data scientists and consultants to identify client needs and develop data-driven solutions +Collect, clean, and analyze large and complex datasets using statistical methods and machine learning techniques +Communicate findings and recommendations to clients through data visualizations and presentations +Work on multiple projects concurrently, managing time and prioritizing tasks effectively +Continuously learn and stay up-to-date with industry advancements in data science and related technologies +Assist in developing proposals and contributing to the growth of the AIM Reply + +About the Candidate: + +Bachelor's or Master's degree in a related field such as computer science, mathematics, statistics, or data science +Strong analytical and problem-solving skills with experience in statistical analysis and machine learning +Proficiency in programming languages such as Python or R +Excellent communication skills with the ability to clearly convey technical concepts to both technical and non-technical audiences +Experience with data visualization tools such as Tableau or Power BI is a plus +Ability to work in a team-oriented and client-focused environment + +Reply provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. + +Show more ","
+ + + + + +
+
+

Junior Data Scientist


About AIM Reply:

AIM Reply’s aspiration is to enable enterprises to leverage, industrialise, and monetise Artificial Intelligence capabilities for business transformation, growth, and value. The guiding mission is to establish a world-class boutique AI consulting and services firm. Brought together with a set of industry-focused offerings (Retail/FMCG; Manufacturing/Logistics and Financial Services/Insurance), dedicated partnerships with big tech companies, and a network of AI start-ups.

Responsibilities:

  • Collaborate with senior data scientists and consultants to identify client needs and develop data-driven solutions
  • Collect, clean, and analyze large and complex datasets using statistical methods and machine learning techniques
  • Communicate findings and recommendations to clients through data visualizations and presentations
  • Work on multiple projects concurrently, managing time and prioritizing tasks effectively
  • Continuously learn and stay up-to-date with industry advancements in data science and related technologies
  • Assist in developing proposals and contributing to the growth of the AIM Reply

About the Candidate:

  • Bachelor's or Master's degree in a related field such as computer science, mathematics, statistics, or data science
  • Strong analytical and problem-solving skills with experience in statistical analysis and machine learning
  • Proficiency in programming languages such as Python or R
  • Excellent communication skills with the ability to clearly convey technical concepts to both technical and non-technical audiences
  • Experience with data visualization tools such as Tableau or Power BI is a plus
  • Ability to work in a team-oriented and client-focused environment

Reply provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-04,[] +4096987391,https://ca.linkedin.com/jobs/view/data-scientist-at-ample-insight-4096987391?position=2&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=E0qk3vz%2FCYW%2B7VxksBHSDw%3D%3D,Data Scientist,Ample Insight,"Toronto, Ontario, Canada","Company Description + +You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologiesto Fortune 500companies looking to scale their engineering and data capabilities. + +Job Description + +We are looking for Data Scientists who are passionate about Machine Learning, and have deep knowledge in Statistics and Computer Science. You enjoy doing data science projects with structured and/or unstructured data and are motivated to productize scalable machine learning models. We will also rely on you to build data products to extract valuable business insights. Critical thinking and problem-solving skills are essential for this role. + +Qualifications + + +BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding +Experienced implementing and scaling machine learning models in production environments +Strong understanding of machine learning theory +Hands on experience with Statistics +Capable of quickly implementing prototypes of cutting-edge research papers +Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries +Analytical mind and strong business acumen + + +If you're passionate about data science and is hungry to learn, please apply! + +Additional Information + +We have competitive compensation. + +Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management. +Show more ","
+ + + + + +
+
+ Company Description

You will join a world-class team of engineers and data scientists from Facebook, Uber, Amazon and Google. We are a fast growing consulting firm based in Toronto with clients ranging from leading startups building impactful technologiesto Fortune 500companies looking to scale their engineering and data capabilities.

Job Description

We are looking for Data Scientists who are passionate about Machine Learning, and have deep knowledge in Statistics and Computer Science. You enjoy doing data science projects with structured and/or unstructured data and are motivated to productize scalable machine learning models. We will also rely on you to build data products to extract valuable business insights. Critical thinking and problem-solving skills are essential for this role.

Qualifications

  • BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding
  • Experienced implementing and scaling machine learning models in production environments
  • Strong understanding of machine learning theory
  • Hands on experience with Statistics
  • Capable of quickly implementing prototypes of cutting-edge research papers
  • Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
  • Analytical mind and strong business acumen

If you're passionate about data science and is hungry to learn, please apply!

Additional Information

We have competitive compensation.

Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-11,[] +4096271568,https://ca.linkedin.com/jobs/view/ai-ml-data-scientist-at-acuity-insights-4096271568?position=3&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=P65l5AJBA8LPraCukPNiYQ%3D%3D,AI/ML Data Scientist,Acuity Insights,"Toronto, Ontario, Canada","Drive AI innovation with Acuity Insights! + +Join our startup-to-scaleup journey as an AI/ML Data Scientist. In this fully remote role, working from anywhere in Canada, you'll be part of an interdisciplinary team innovating our flagship assessment platform, Casper, with AI. + +Working at the intersection of machine learning innovation and ethical AI in higher education, you'll work on complex, ambiguous problems, and lead the end-to-end design, build, and deployment of an AI-powered evaluation system. + +This role offers you, a machine learning professional with advanced proficiency in Python and deep knowledge of ML libraries, the chance to work without a predefined playbook and grow your career with a people-focused company that values work-life balance, invests in learning, and creates products with real-world impact on education, admissions, and social equity. + +The Future We're Building + +Imagine a world powered by everyone's full potential. + +That's what we're building at Acuity Insights. + +Our company was founded on the need for a higher education admissions method that looks beyond academic performance and considers the whole student—their unique qualities, experiences, and strengths. + +Today, our solutions help discover, nurture and realize people's potential, supporting holistic success from admissions to graduation for students, education programs, and higher education institutions across North America, the U.K., Australia, and the Gulf. + +Our core assessment product, Casper, provides education programs with a more holistic view of applicants by evaluating their soft skills. Incorporating Casper's insights into the admissions process results in a larger applicant pool, enables student success, and graduates better professionals. Since 2014, Casper has been adopted by over 600 higher education programs, and more than 1 million applicants have registered to take the test. + +With our core education program management solution, One45, we help medical schools and other health professions programs optimize the complex processes and critical components of their curriculum and student assessments to generate data-informed insights needed to graduate competent future healthcare professionals. + +With our fast-growing data and insights solution, Analytics, we leverage critical integrations with our data warehouse and powerful dashboards to provide medical schools with deep insights and intelligence on student and program performance, powering real-time decision-making and continuous quality improvement. + +Role & Opportunity Overview + +As an AI/ML Data Scientist, you will join our Research team, which includes experts from the humanities, social sciences, and hard sciences. Research underpins our company's mission and provides data-driven, ethical insights. The team has been at the forefront of developing assessment methodologies that move beyond traditional metrics and ensure our products' scientific integrity and reliability. + +In this role, you'll report to Jill Derby, our Senior Research Manager, and partner closely with Cole Walsh, our Research Scientist, on your initial project. You'll also collaborate closely with key team members from Rating, Content and New Product Development, as well as with product directors, product marketing managers, and design and engineering teams. + +In your first 12 months, you get to lead the development of our first AI-powered evaluation system for the Casper platform, leveraging machine learning to transform how we assess applicants. You'll oversee the entire process, from data collection and validation to model training, implementation, and monitoring, while addressing challenges like aligning with human rater standards and ensuring demographic fairness. + +Your work will drive significant business impact, including market scalability, operational efficiency, and an improved applicant experience. Over time, you'll expand to other market verticals, optimize product offerings, and lead responsible AI innovations to tackle key growth challenges. + +As our AI/ML Data Scientist, you'll also help build a world-class AI and machine learning practice, define processes, tackle uncharted problems, and shape how AI/ML capabilities are embedded within Acuity Insights. Drawing from your expertise, you'll lead transformative AI projects, set performance benchmarks, and embed fairness and explainability at every stage. Your work will deliver scalable, impactful solutions that align with our ethical standards and foster trust across diverse partners. + +As an AI/ML Data Scientist, your key areas of day-to-day contribution are: + +Collaboration & Communication + + +Drive cross-functional alignment: Collaborate with Product, Engineering, and other Research team members to ensure AI initiatives align with strategic goals and technical requirements +Champion explainability: Clearly communicate complex AI processes and outcomes to technical and non-technical audiences, fostering transparency and trust +Lead ethical discussions: Actively participate in discussions about ethical considerations and fairness in AI to guide responsible decision-making +Feedback and iteration: Partner with team members to gather insights and refine AI models based on ongoing collaboration and testing + + + +Data Science & Machine Learning + + +Design and train models: Lead the design, training, and optimization of machine learning models for evaluating responses in Casper assessments +Analyze and validate: Analyze large datasets, evaluate model performance against benchmarks, and ensure alignment with human rater standards +Ensure fairness and ethics: Develop processes to identify and mitigate bias, ensuring models are fair, explainable, and meet ethical standards +Incorporate best practices: Stay current with industry advancements, incorporating the latest techniques and frameworks to improve model accuracy and scalability + + + +Execution & Delivery + + +Own model development: Oversee the full lifecycle of AI model development, from data preprocessing and feature engineering to deployment and monitoring +Optimize and refine: Continuously monitor AI systems in production, refining models to maintain accuracy and reliability +Drive Impact: Deliver scalable, cost-effective AI solutions and enhance the accessibility of assessments +Measure success: Establish and track key metrics to assess AI model performance, fairness, and impact on business objectives + + +Experiences & Skills You Bring + + +Machine Learning Expertise: You have worked in machine learning and data science or related roles or initiatives in which you've trained, retrained, and monitored ML systems. While not required, formal education or study in Statistics, Computer Science, or related fields can enhance your ability to understand complex concepts and effectively communicate with internal teams and external partners in a scholarly context and academic environment. +Technical Proficiency: Advanced Python skills are essential, as it will be your primary programming language. Familiarity with SQL, R, and ML libraries (e.g., Scikit-learn, PyTorch) is highly valued. Experience with LLMs like OpenAI or Hugging Face is especially useful, as they will play a key role in extracting insights that support fair and meaningful scoring algorithms +Data Engineering and Modeling: You understand data structures, have constructed and optimized data pipelines, and applied data modelling techniques. Familiarity with software architecture, though not required, can strengthen your collaboration with the engineering team and help integrate the AI model into internal applications +Analytical Depth: Solid foundation in probability, statistics, algorithms, and benchmark-driven approaches to evaluate AI quality, accuracy, and fairness +Focus on Ethics and Fairness: You naturally prioritize fairness and ethical AI development, take ownership of ethical and fairness considerations, and apply reflective thinking and empathy to create accurate, equitable and just models that are explainable and transparent. +Collaborative Mindset: You bring high emotional intelligence and a passion for working collaboratively and cross-functionally to harness diverse expertise, leverage multiple perspectives to solve complex problems and explore more robust and innovative solutions and align with organizational goals. +Innovation and Problem-Solving: You have a history of tackling complex, undefined problems and thrive in ambiguous and uncharted territories, exploring innovative solutions to technical challenges +Communication & Storytelling: You have a knack for effectively translating complex AI models and insights into clear, compelling and data-informed narratives for technical and non-technical audiences that instill trust and confidence and help drive alignment. +Passion for Learning & Growth: A natural curiosity and eagerness to explore new ideas drive your commitment to innovation and problem-solving. You embrace challenges with humility, seeking feedback, learning from setbacks, and staying current with AI and machine learning advancements. + + +Selection Process + +We review every application. We consider all your professional experiences and how you have applied your skills and knowledge to add value and make an impact. We also look for evidence that you are naturally caring, curious, driven, and can be resilient in rapidly changing environments. + +To ensure a fair process, you will receive equal consideration whether you apply, get introduced as a referral, or directly contact the manager or recruiter for this role. + +Applicants who do not live in Canada or have a work permit will automatically be disqualified. + +Interview Process + +We have designed our interview process to be a two-way discovery and create space for meaningful conversations. + +We want to get to know you personally and professionally, understand your career journey and experiences, relevant skills and abilities, professional interests and priorities, and assess your alignment with our business needs and what we can offer you. + +We also want you to have the information you need to make an informed decision about this opportunity. That's why we encourage you to stay curious and ask questions every step of the way. + +Here's an overview of the process: + + +Application Review: A human reviews your application to assess potential and fit +Recruiter Conversation: A 60-90 minute call to share your professional journey, career interests and priorities and learn about the company, culture, and team +Asynchronous Project: Complete a brief take-home project to showcase your technical and problem-solving skills +Manager & Peer Conversations: Meet your potential manager and a technical peer 1-on-1. Discuss your project, work experience, and technical abilities while exploring the team's day-to-day +Team Conversations: Meet other future team members, including leaders, peers, and collaborators, to assess team alignment and learn more about life at Acuity Insights +Decision: The Hiring Manager consolidates feedback and makes a decision, typically within 2-4 days +Offer & Reference Check: If we have found a mutual match, we'll invite you to an offer conversation. The offer is contingent on completing reference checks + + +Compensation + +Several factors will inform our offer: your unique qualifications, experience, expected contributions and salary needs, market data, budget, and internal pay equity. + +The target annual compensation for this role is $115,000 to $140,000. While this range does not represent the full Individual Contributor salary band, it reflects the budget allocated to fill the position. + +Benefits From Day 1 + + +Flexible and remote work. Have the freedom to work from anywhere within Canada and work from abroad for up to 6 weeks per year, and configure your schedule and work hours to best suit you. +Prioritize rest and time off. Join the team in our two-week year-end company closure, enjoy flexible, self-directed vacation (most take 4-6 weeks annually), and enjoy an extra Friday off each month from February to November +Invest in your growth. Access a $3,000 yearly learning budget to support your professional and personal development. +Stake in the company. Become a partial owner of Acuity Insights when you join, sharing in long-term value creation and financial success through our employee stock option plan +Save for retirement. Join our GRSP matching program through Wealthsimple. We match contributions up to 2% of your salary. +Support for health & wellness. Access comprehensive health benefits for yourself and your dependents through Equitable Life of Canada and Nivati to nurture and enhance your holistic health and well-being. +Grow your family. Take parental leave, regardless of your role in expanding your family, and receive a top-up for 16 weeks beyond EI benefits + + +Life & People at Acuity Insights + +At Acuity Insights, you'll be part of a community of over 125 professionals, mostly based in Canada. While we primarily collaborate remotely, our team members connect socially and occasionally co-work in person in our larger people pockets, too. + +Human Qualities That Help People Thrive at Acuity + +Our team is built on a set of shared values: caring, curious, and driven. We value people who show empathy, listen actively, and act with integrity. We want our team members to be naturally curious and open to exploring new ideas and viewpoints, bringing urgency and creativity to problem-solving. Our team thrives on continuous improvement, resilience in the face of changes around us, and self-awareness. Above all, we believe in purposeful work that aligns with our shared values and makes the world a better place. + +Our Commitment to Inclusion and Belonging + +We strive to be a workplace where every person feels respected, valued, and fully supported. Our environment and supporting policies are designed to foster a culture of belonging, equity, and work-life balance. We embrace each team member's unique strengths and lived experiences, recognizing that diversity enriches our environment and drives our success. + +We encourage applicants from non-traditional backgrounds or historically marginalized and underrepresented groups to join us. + +Thanks for considering Acuity Insights as your next employer! + +PS: We're Taking a Winter Pause! + +At Acuity Insights, we value breaks to rest and recharge. That is why hiring activities are on hold now and throughout our Winter Holiday Shutdown from December 21, 2024, to January 5, 2025. + +We are committed to reviewing your application and following up with any potential next steps after we return on January 6. + +It might also help to know that our interview process typically takes 3-4 weeks from an initial conversation to a potential offer. Hang tight - and thank you for your patience! +Show more ","
+ + + + + +
+
+ Drive AI innovation with Acuity Insights!

Join our startup-to-scaleup journey as an AI/ML Data Scientist. In this fully remote role, working from anywhere in Canada, you'll be part of an interdisciplinary team innovating our flagship assessment platform, Casper, with AI.

Working at the intersection of machine learning innovation and ethical AI in higher education, you'll work on complex, ambiguous problems, and lead the end-to-end design, build, and deployment of an AI-powered evaluation system.

This role offers you, a machine learning professional with advanced proficiency in Python and deep knowledge of ML libraries, the chance to work without a predefined playbook and grow your career with a people-focused company that values work-life balance, invests in learning, and creates products with real-world impact on education, admissions, and social equity.

The Future We're Building

Imagine a world powered by everyone's full potential.

That's what we're building at Acuity Insights.

Our company was founded on the need for a higher education admissions method that looks beyond academic performance and considers the whole student—their unique qualities, experiences, and strengths.

Today, our solutions help discover, nurture and realize people's potential, supporting holistic success from admissions to graduation for students, education programs, and higher education institutions across North America, the U.K., Australia, and the Gulf.

Our core assessment product, Casper, provides education programs with a more holistic view of applicants by evaluating their soft skills. Incorporating Casper's insights into the admissions process results in a larger applicant pool, enables student success, and graduates better professionals. Since 2014, Casper has been adopted by over 600 higher education programs, and more than 1 million applicants have registered to take the test.

With our core education program management solution, One45, we help medical schools and other health professions programs optimize the complex processes and critical components of their curriculum and student assessments to generate data-informed insights needed to graduate competent future healthcare professionals.

With our fast-growing data and insights solution, Analytics, we leverage critical integrations with our data warehouse and powerful dashboards to provide medical schools with deep insights and intelligence on student and program performance, powering real-time decision-making and continuous quality improvement.

Role & Opportunity Overview

As an AI/ML Data Scientist, you will join our Research team, which includes experts from the humanities, social sciences, and hard sciences. Research underpins our company's mission and provides data-driven, ethical insights. The team has been at the forefront of developing assessment methodologies that move beyond traditional metrics and ensure our products' scientific integrity and reliability.

In this role, you'll report to Jill Derby, our Senior Research Manager, and partner closely with Cole Walsh, our Research Scientist, on your initial project. You'll also collaborate closely with key team members from Rating, Content and New Product Development, as well as with product directors, product marketing managers, and design and engineering teams.

In your first 12 months, you get to lead the development of our first AI-powered evaluation system for the Casper platform, leveraging machine learning to transform how we assess applicants. You'll oversee the entire process, from data collection and validation to model training, implementation, and monitoring, while addressing challenges like aligning with human rater standards and ensuring demographic fairness.

Your work will drive significant business impact, including market scalability, operational efficiency, and an improved applicant experience. Over time, you'll expand to other market verticals, optimize product offerings, and lead responsible AI innovations to tackle key growth challenges.

As our AI/ML Data Scientist, you'll also help build a world-class AI and machine learning practice, define processes, tackle uncharted problems, and shape how AI/ML capabilities are embedded within Acuity Insights. Drawing from your expertise, you'll lead transformative AI projects, set performance benchmarks, and embed fairness and explainability at every stage. Your work will deliver scalable, impactful solutions that align with our ethical standards and foster trust across diverse partners.

As an AI/ML Data Scientist, your key areas of day-to-day contribution are:

Collaboration & Communication

  • Drive cross-functional alignment: Collaborate with Product, Engineering, and other Research team members to ensure AI initiatives align with strategic goals and technical requirements
  • Champion explainability: Clearly communicate complex AI processes and outcomes to technical and non-technical audiences, fostering transparency and trust
  • Lead ethical discussions: Actively participate in discussions about ethical considerations and fairness in AI to guide responsible decision-making
  • Feedback and iteration: Partner with team members to gather insights and refine AI models based on ongoing collaboration and testing


Data Science & Machine Learning

  • Design and train models: Lead the design, training, and optimization of machine learning models for evaluating responses in Casper assessments
  • Analyze and validate: Analyze large datasets, evaluate model performance against benchmarks, and ensure alignment with human rater standards
  • Ensure fairness and ethics: Develop processes to identify and mitigate bias, ensuring models are fair, explainable, and meet ethical standards
  • Incorporate best practices: Stay current with industry advancements, incorporating the latest techniques and frameworks to improve model accuracy and scalability


Execution & Delivery

  • Own model development: Oversee the full lifecycle of AI model development, from data preprocessing and feature engineering to deployment and monitoring
  • Optimize and refine: Continuously monitor AI systems in production, refining models to maintain accuracy and reliability
  • Drive Impact: Deliver scalable, cost-effective AI solutions and enhance the accessibility of assessments
  • Measure success: Establish and track key metrics to assess AI model performance, fairness, and impact on business objectives

Experiences & Skills You Bring

  • Machine Learning Expertise: You have worked in machine learning and data science or related roles or initiatives in which you've trained, retrained, and monitored ML systems. While not required, formal education or study in Statistics, Computer Science, or related fields can enhance your ability to understand complex concepts and effectively communicate with internal teams and external partners in a scholarly context and academic environment.
  • Technical Proficiency: Advanced Python skills are essential, as it will be your primary programming language. Familiarity with SQL, R, and ML libraries (e.g., Scikit-learn, PyTorch) is highly valued. Experience with LLMs like OpenAI or Hugging Face is especially useful, as they will play a key role in extracting insights that support fair and meaningful scoring algorithms
  • Data Engineering and Modeling: You understand data structures, have constructed and optimized data pipelines, and applied data modelling techniques. Familiarity with software architecture, though not required, can strengthen your collaboration with the engineering team and help integrate the AI model into internal applications
  • Analytical Depth: Solid foundation in probability, statistics, algorithms, and benchmark-driven approaches to evaluate AI quality, accuracy, and fairness
  • Focus on Ethics and Fairness: You naturally prioritize fairness and ethical AI development, take ownership of ethical and fairness considerations, and apply reflective thinking and empathy to create accurate, equitable and just models that are explainable and transparent.
  • Collaborative Mindset: You bring high emotional intelligence and a passion for working collaboratively and cross-functionally to harness diverse expertise, leverage multiple perspectives to solve complex problems and explore more robust and innovative solutions and align with organizational goals.
  • Innovation and Problem-Solving: You have a history of tackling complex, undefined problems and thrive in ambiguous and uncharted territories, exploring innovative solutions to technical challenges
  • Communication & Storytelling: You have a knack for effectively translating complex AI models and insights into clear, compelling and data-informed narratives for technical and non-technical audiences that instill trust and confidence and help drive alignment.
  • Passion for Learning & Growth: A natural curiosity and eagerness to explore new ideas drive your commitment to innovation and problem-solving. You embrace challenges with humility, seeking feedback, learning from setbacks, and staying current with AI and machine learning advancements.

Selection Process

We review every application. We consider all your professional experiences and how you have applied your skills and knowledge to add value and make an impact. We also look for evidence that you are naturally caring, curious, driven, and can be resilient in rapidly changing environments.

To ensure a fair process, you will receive equal consideration whether you apply, get introduced as a referral, or directly contact the manager or recruiter for this role.

Applicants who do not live in Canada or have a work permit will automatically be disqualified.

Interview Process

We have designed our interview process to be a two-way discovery and create space for meaningful conversations.

We want to get to know you personally and professionally, understand your career journey and experiences, relevant skills and abilities, professional interests and priorities, and assess your alignment with our business needs and what we can offer you.

We also want you to have the information you need to make an informed decision about this opportunity. That's why we encourage you to stay curious and ask questions every step of the way.

Here's an overview of the process:

  • Application Review: A human reviews your application to assess potential and fit
  • Recruiter Conversation: A 60-90 minute call to share your professional journey, career interests and priorities and learn about the company, culture, and team
  • Asynchronous Project: Complete a brief take-home project to showcase your technical and problem-solving skills
  • Manager & Peer Conversations: Meet your potential manager and a technical peer 1-on-1. Discuss your project, work experience, and technical abilities while exploring the team's day-to-day
  • Team Conversations: Meet other future team members, including leaders, peers, and collaborators, to assess team alignment and learn more about life at Acuity Insights
  • Decision: The Hiring Manager consolidates feedback and makes a decision, typically within 2-4 days
  • Offer & Reference Check: If we have found a mutual match, we'll invite you to an offer conversation. The offer is contingent on completing reference checks

Compensation

Several factors will inform our offer: your unique qualifications, experience, expected contributions and salary needs, market data, budget, and internal pay equity.

The target annual compensation for this role is $115,000 to $140,000. While this range does not represent the full Individual Contributor salary band, it reflects the budget allocated to fill the position.

Benefits From Day 1

  • Flexible and remote work. Have the freedom to work from anywhere within Canada and work from abroad for up to 6 weeks per year, and configure your schedule and work hours to best suit you.
  • Prioritize rest and time off. Join the team in our two-week year-end company closure, enjoy flexible, self-directed vacation (most take 4-6 weeks annually), and enjoy an extra Friday off each month from February to November
  • Invest in your growth. Access a $3,000 yearly learning budget to support your professional and personal development.
  • Stake in the company. Become a partial owner of Acuity Insights when you join, sharing in long-term value creation and financial success through our employee stock option plan
  • Save for retirement. Join our GRSP matching program through Wealthsimple. We match contributions up to 2% of your salary.
  • Support for health & wellness. Access comprehensive health benefits for yourself and your dependents through Equitable Life of Canada and Nivati to nurture and enhance your holistic health and well-being.
  • Grow your family. Take parental leave, regardless of your role in expanding your family, and receive a top-up for 16 weeks beyond EI benefits

Life & People at Acuity Insights

At Acuity Insights, you'll be part of a community of over 125 professionals, mostly based in Canada. While we primarily collaborate remotely, our team members connect socially and occasionally co-work in person in our larger people pockets, too.

Human Qualities That Help People Thrive at Acuity

Our team is built on a set of shared values: caring, curious, and driven. We value people who show empathy, listen actively, and act with integrity. We want our team members to be naturally curious and open to exploring new ideas and viewpoints, bringing urgency and creativity to problem-solving. Our team thrives on continuous improvement, resilience in the face of changes around us, and self-awareness. Above all, we believe in purposeful work that aligns with our shared values and makes the world a better place.

Our Commitment to Inclusion and Belonging

We strive to be a workplace where every person feels respected, valued, and fully supported. Our environment and supporting policies are designed to foster a culture of belonging, equity, and work-life balance. We embrace each team member's unique strengths and lived experiences, recognizing that diversity enriches our environment and drives our success.

We encourage applicants from non-traditional backgrounds or historically marginalized and underrepresented groups to join us.

Thanks for considering Acuity Insights as your next employer!

PS: We're Taking a Winter Pause!

At Acuity Insights, we value breaks to rest and recharge. That is why hiring activities are on hold now and throughout our Winter Holiday Shutdown from December 21, 2024, to January 5, 2025.

We are committed to reviewing your application and following up with any potential next steps after we return on January 6.

It might also help to know that our interview process typically takes 3-4 weeks from an initial conversation to a potential offer. Hang tight - and thank you for your patience! +
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",2024-12-13,[] +4102474193,https://ca.linkedin.com/jobs/view/data-scientist-analytics-at-robinhood-4102474193?position=8&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=3Un8%2BWRNfVTd%2F2UoLNifxg%3D%3D,Data Scientist - Analytics,Robinhood,"Toronto, Ontario, Canada","Join a leading fintech company that’s democratizing finance for all. + +Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. + +With growth as the top priority... + +The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply. + +About the team + role + +Insights from data power most decisions at Robinhood. Our company trajectory is shaped by the systems, tools, and analytics driven by our exceptional data science teams. + +This Data Scientist - Analytics role will collaborate with partners in workforce planning, employee relations, talent acquisition, people leadership, and compliance to analyze data from various systems and sources. The goal is to provide actionable recommendations across the entire employee lifecycle, from recruitment to employee experience and retention. + +The role is located in the office location listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations. + +What You’ll Do + + +Translate business and leadership needs into actionable solutions by creating meaningful data visualizations, key insights, and metrics. +Use SQL to integrate data from various sources, building structures that provide a comprehensive view of employee journeys. +Apply quantitative techniques, including modeling, to address complex problems from diverse perspectives. +Enable quick decision-making by answering business questions using our extensive datasets. +Build and maintain scalable business intelligence tools and dashboards for People Analytics, covering the employee lifecycle with data from Greenhouse, Workday, and other sources. Collaborate with Data Engineering and vendors to automate, improve, and scale these solutions. + + +What You Bring + + +4+ years of demonstrated experience in data analytics or data science, serving as the analytics expert within People Analytics or similar domains. +BA/BS/MS/PhD in behavioral science (economics, psychology etc) with strong statistical chops or a background in a quantitative field such as mathematics, statistics, engineering, or natural sciences (or equivalent experience) with a strong curiosity about human behavior. +Excellent programming skills, including expert level familiarity with either Python (numpy, scipy, pandas) or R programming languages +Expert level SQL skills +Solid understanding of statistical analysis +Experience communicating data driven insights +The ability to use data to inform, persuade, and lead + + +Bonus Points + + +People Analytics experience (working with organizational people data such as recruiting, headcount, attrition, and sentiment to solve business needs) +Working knowledge of Greenhouse, Workday, and One Model +Passion for working and learning in a fast-growing company +Intense sense of curiosity +Satisfaction from mentoring and encouraging others in your field + + +Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation. + +We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024. + +Please see the independent bias audit report covering our use of Covey here. + +Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. + +Toronto, ON + +$85,000—$100,000 CAD + +Click here to learn more about available Benefits, which vary by region and Robinhood entity. + +We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes. + +Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying. +Show more ","
+ + + + + +
+
+ Join a leading fintech company that’s democratizing finance for all.

Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

With growth as the top priority...

The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.

About the team + role

Insights from data power most decisions at Robinhood. Our company trajectory is shaped by the systems, tools, and analytics driven by our exceptional data science teams.

This Data Scientist - Analytics role will collaborate with partners in workforce planning, employee relations, talent acquisition, people leadership, and compliance to analyze data from various systems and sources. The goal is to provide actionable recommendations across the entire employee lifecycle, from recruitment to employee experience and retention.

The role is located in the office location listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What You’ll Do

  • Translate business and leadership needs into actionable solutions by creating meaningful data visualizations, key insights, and metrics.
  • Use SQL to integrate data from various sources, building structures that provide a comprehensive view of employee journeys.
  • Apply quantitative techniques, including modeling, to address complex problems from diverse perspectives.
  • Enable quick decision-making by answering business questions using our extensive datasets.
  • Build and maintain scalable business intelligence tools and dashboards for People Analytics, covering the employee lifecycle with data from Greenhouse, Workday, and other sources. Collaborate with Data Engineering and vendors to automate, improve, and scale these solutions.

What You Bring

  • 4+ years of demonstrated experience in data analytics or data science, serving as the analytics expert within People Analytics or similar domains.
  • BA/BS/MS/PhD in behavioral science (economics, psychology etc) with strong statistical chops or a background in a quantitative field such as mathematics, statistics, engineering, or natural sciences (or equivalent experience) with a strong curiosity about human behavior.
  • Excellent programming skills, including expert level familiarity with either Python (numpy, scipy, pandas) or R programming languages
  • Expert level SQL skills
  • Solid understanding of statistical analysis
  • Experience communicating data driven insights
  • The ability to use data to inform, persuade, and lead

Bonus Points

  • People Analytics experience (working with organizational people data such as recruiting, headcount, attrition, and sentiment to solve business needs)
  • Working knowledge of Greenhouse, Workday, and One Model
  • Passion for working and learning in a fast-growing company
  • Intense sense of curiosity
  • Satisfaction from mentoring and encouraging others in your field

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.

Please see the independent bias audit report covering our use of Covey here.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan.

Toronto, ON

$85,000—$100,000 CAD

Click here to learn more about available Benefits, which vary by region and Robinhood entity.

We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-16,[] +4090288902,https://ca.linkedin.com/jobs/view/data-science-specialist-at-sarascan-inc-4090288902?position=12&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=Rkno6EMuff3fjSX%2FUm%2Bdfw%3D%3D,Data Science Specialist,SarasCan Inc,"Toronto, Ontario, Canada","Requirements + +● Advanced Python Programming: Proficient in Python programming, particularly within Linux-based High-Performance Computing (HPC) environments. + +● Expertise in Workflow Language: Strong knowledge of workflow languages such as WDL, Nextflow, and/or Snakemake for automating and managing computational workflows. + +● Version Control with Git: Experienced in tracking and managing code using Git for version control. + +● Extensive Experience in Data Analysis: Proven ability to analyze complex datasets and derive meaningful insights. + +● Proficiency in X-Omics Technologies: Familiarity with x-omics technologies and their applications in data analysis. + +● Excellent Communication Skills: Ability to effectively communicate technical concepts and results to both technical and non-technical audiences. + + + + +Education: Minimum of a Bachelor's degree in Bioinformatics, Data Sciences, Computational Biology, Computer Science, Molecular Biology, or a related field. + + + + + + + +Must Have skills: + + + + +(a) Python expertise + +(b) Workflow languages (WDL, Nextflow, snakemake) + +(c) Git experience (must share github link on resume) + +Show more ","
+ + + + + +
+
+

Requirements

● Advanced Python Programming: Proficient in Python programming, particularly within Linux-based High-Performance Computing (HPC) environments.

● Expertise in Workflow Language: Strong knowledge of workflow languages such as WDL, Nextflow, and/or Snakemake for automating and managing computational workflows.

● Version Control with Git: Experienced in tracking and managing code using Git for version control.

● Extensive Experience in Data Analysis: Proven ability to analyze complex datasets and derive meaningful insights.

● Proficiency in X-Omics Technologies: Familiarity with x-omics technologies and their applications in data analysis.

● Excellent Communication Skills: Ability to effectively communicate technical concepts and results to both technical and non-technical audiences.


Education: Minimum of a Bachelor's degree in Bioinformatics, Data Sciences, Computational Biology, Computer Science, Molecular Biology, or a related field.



Must Have skills:


(a) Python expertise

(b) Workflow languages (WDL, Nextflow, snakemake)

(c) Git experience (must share github link on resume)

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-03,[] +3990415156,https://ca.linkedin.com/jobs/view/machine-learning-engineer-virtual-agents-at-cresta-3990415156?position=14&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=zIaWfvjDTo96qEeGxlxlNA%3D%3D,Machine Learning Engineer (Virtual Agents),Cresta,"Toronto, Ontario, Canada","Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI. + +Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. + +About The Role + +At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. This role will involve hands-on work on cutting-edge projects, requiring innovative and passionate machine learning engineers who can bring research into practical, scalable applications. + +As a Machine Learning Engineer, your goal will be to take AI Agents from the realm of research and bring them into practical, real-world use cases. This includes developing and deploying proprietary LLMs, scaling AI solutions, and addressing key challenges such as evaluation and reliability. While we’re focused on real-world application rather than pure research, you’ll be working with some of the most advanced technologies in the GenAI space. + +This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments. + +Responsibilities + + +Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models. +Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios. +Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions. +Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases. +Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents. +Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems. + + +Qualifications We Value + + +Bachelor's Degree in Computer Science, Mathematics or related field, or equivalent professional experience +3+ years of hands-on industry experience with AI and machine learning, preferably 1+ years of hands-on experience in working with LLMs in production environments +Strong knowledge of basic machine learning concepts and methods, especially those related to NLP and GenAI +Practical knowledge and expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Tensorflow, Hugging Face, NumPy) +Strong problem-solving abilities, ability to work collaboratively with cross-functional teams and a passion for bringing AI solutions into real-world use + + +Perks & Benefits: + + +We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs +Paid parental leave to support you and your family +Monthly Health & Wellness allowance +Work from home office stipend to help you succeed in a remote environment +Lunch reimbursement for in-office employees +PTO: 3 weeks in Canada + + +Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details. + +We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com. +Show more ","
+ + + + + +
+
+ Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About The Role

At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable. This role will involve hands-on work on cutting-edge projects, requiring innovative and passionate machine learning engineers who can bring research into practical, scalable applications.

As a Machine Learning Engineer, your goal will be to take AI Agents from the realm of research and bring them into practical, real-world use cases. This includes developing and deploying proprietary LLMs, scaling AI solutions, and addressing key challenges such as evaluation and reliability. While we’re focused on real-world application rather than pure research, you’ll be working with some of the most advanced technologies in the GenAI space.

This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments.

Responsibilities

  • Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models.
  • Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios.
  • Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions.
  • Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases.
  • Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents.
  • Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems.

Qualifications We Value

  • Bachelor's Degree in Computer Science, Mathematics or related field, or equivalent professional experience
  • 3+ years of hands-on industry experience with AI and machine learning, preferably 1+ years of hands-on experience in working with LLMs in production environments
  • Strong knowledge of basic machine learning concepts and methods, especially those related to NLP and GenAI
  • Practical knowledge and expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Tensorflow, Hugging Face, NumPy)
  • Strong problem-solving abilities, ability to work collaboratively with cross-functional teams and a passion for bringing AI solutions into real-world use

Perks & Benefits:

  • We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
  • Paid parental leave to support you and your family
  • Monthly Health & Wellness allowance
  • Work from home office stipend to help you succeed in a remote environment
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-13,[] +4105783600,https://ca.linkedin.com/jobs/view/data-science-at-td-4105783600?position=15&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=T21%2FHBGVNuO6ma7vNiG8kg%3D%3D,Data Science,TD,"Toronto, Ontario, Canada","Lieu De Travail + +Toronto, Ontario, Canada + +Horaire + +37.5 + +Secteur D’activité + +Analyses, informations et intelligence artificielle + +Détails De La Rémunération + +$76,800 - $136,800 CAD + +Ce poste est admissible à une prime de rémunération variable discrétionnaire qui tient compte du rendement de l’entreprise et du rendement individuel. + +La TD a à cœur d’offrir une rémunération juste et équitable à tous les collègues. Les occasions de croissance et le perfectionnement des compétences sont des caractéristiques essentielles de l’expérience collègue à la TD. Nos politiques et pratiques en matière de rémunération ont été conçues pour permettre aux collègues de progresser dans l’échelle salariale au fil du temps, à mesure qu’ils s’améliorent dans leurs fonctions. Le salaire de base offert peut varier en fonction des compétences et de l’expérience du candidat, de ses connaissances professionnelles, de son emplacement géographique et d’autres besoins particuliers du secteur et de l’entreprise. + +En tant que candidat, nous vous encourageons à poser des questions sur la rémunération et à avoir une conversation franche avec votre recruteur, qui pourra vous fournir des détails plus précis sur ce poste. + +Department Overview + +Description du poste : + +The Data Science team consists of professional roles that provide consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning; it leverages and interprets data and analytical product to provide business specific or broad strategic insight by using a variety of analytics techniques and audience-specific communication skills. This area can also focus on gathering, analyzing and modeling all kinds of data to develop business insights or analytics solutions and generally involves the use of broad range of statistical and/or mathematical models/techniques and tools. + +Job Description + +We will be offering a variety of roles from intermediate to senior level. The individuals are principally responsible for supporting specifically assigned data & analytics projects and often provide on-going analytical sights for specific business domains. + +The roles may consist of (but not limited to) one or more of the following key areas: + + +Use a wide range of programing languages (e.g. Python) and data science techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data or build analytics solutions to answer impactful business questions and guide business decisions. +Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding. +Collaborate with other partners, such as data and business analysts, software engineer, data engineers, and application developers to develop scalable and sustainable data science solutions that retains on-going benefit to the business. +Identifies new analytical trends / data needs to improve repeatable analytic solutions. +Interdisciplinary field focused on processes and systems to extract knowledge or insights from data of various forms either structured or unstructured techniques. +Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics that may be applied across a variety of products, services, business lines, or segments. +Educate the organization on data science approaches, such as experimental test & learn, testing hypotheses and statistical validation of result. +Enhance business strategies by leveraging analytics and insights to foster strategic thinking, guiding the organization towards informed decisions and sustainable growth. +Help the organization understand the principles and the math behind the scientist process to drive organizational alignment. +Translate up to date information into continuous improvement activities that enhance Performance +Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts. +Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite. +Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest. + + +Job Requirements + +We are hiring for multiple roles, looking for below skillset(s): + + +Experience in Python, Cloud, SQL, Tableau +Experience in Anti-money Laundering functions is an asset. +Data engineering and reporting background is preferred. +Experience in visualization, particularly around Business Intelligence (Reporting, analytics and delivery). +Experience in forecasting – understanding of different forecasting techniques especially in linear regressions & time-series forecasting. +Experience/knowledge in setting test & control group & hypothesis testing. +Strong analytics & problem-solving skills +Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science) Graduate's degree preferred with either progressive project work experience. + + +Level + +Min Years' Experience + +Intermediate 3+ years + +Senior 5+ years + + +Higher degree education and research tenure can be counted. + + +À propos de nous + +La TD est un chef de file mondial dans le secteur des institutions financières. Elle représente la cinquième banque en Amérique du Nord de par son nombre de succursales. Chaque jour, nous offrons une expérience client légendaire à plus de 27 millions de ménages et d’entreprises au Canada, aux États-Unis et partout dans le monde. Plus de 95 000 collègues de la TD mettent en commun leurs compétences, leur talent et leur créativité au service de la Banque, des clients qu’elle sert et des économies qu’elle appuie. Nous sommes guidés par notre vision d’être une meilleure banque et par notre objectif d’enrichir la vie de nos clients, de nos collectivités et de nos collègues. + +La TD est une entreprise profondément engagée à être une leader en matière d’expérience client. Voilà pourquoi nous croyons que chaque collègue, peu importe son secteur d’activité, est en contact avec la clientèle. En parallèle de l’évolution de nos activités et de notre stratégie, nous innovons afin d’améliorer l’expérience client et de créer des capacités pour façonner l’avenir des services bancaires. Que vous ayez plusieurs années d’expérience dans le secteur bancaire ou que vous commenciez tout juste votre carrière dans le domaine des services financiers, nous pouvons vous aider à réaliser votre plein potentiel. Vous pourrez compter sur nos programmes de formation et de mentorat et sur des conversations sur le perfectionnement et le leadership pour réaliser votre plein potentiel et atteindre vos objectifs. Notre croissance en tant qu’entreprise rime avec la vôtre. + +Notre programme de rémunération globale + +Notre programme de rémunération globale reflète les investissements que nous faisons pour aider nos collègues et leur famille à atteindre leurs objectifs en matière de bien-être mental, physique et financier. La rémunération globale à la TD inclut le salaire de base, la rémunération variable et bien d’autres régimes clés, comme des avantages sociaux en matière de santé et de bien-être, des régimes d’épargne et de retraite, des congés payés, des avantages bancaires et des rabais, des occasions de développement de carrière et des programmes de récompenses et reconnaissance. En savoir plus + +Renseignements Supplémentaires + +Nous sommes ravis que vous envisagiez une carrière à la TD. Sachez que nous avons à cœur d’aider nos collègues à réussir dans leur vie tant personnelle que professionnelle. C’est d’ailleurs pourquoi nous leur offrons des conversations sur le perfectionnement, des programmes de formation et un régime d’avantages sociaux concurrentiel. + +Perfectionnement des collègues + +Un cheminement professionnel particulier vous intéresse ou vous cherchez à acquérir certaines compétences? Nous tenons à vous mettre sur la voie de la réussite. Vous aurez des conversations régulières sur le développement de carrière, le perfectionnement et le rendement avec votre gestionnaire. Une variété de programmes de mentorat et une plateforme d’apprentissage en ligne seront également à votre disposition pour vous aider à ouvrir de nouvelles portes. Que vous ayez à cœur d’aider les clients et souhaitiez élargir votre expérience ou que vous préfériez coacher et inspirer vos collègues, sachez que la TD propose un grand nombre de cheminements professionnels et qu’elle s’engage à vous aider à relever les occasions qui vont dans le sens de vos objectifs. + +Formation et intégration + +Nous tenons à nous assurer que vous disposez des outils et ressources nécessaires pour réussir à votre nouveau poste. Dans cette optique, nous organiserons des séances d’intégration et de formation. + +Processus d’entrevue + +Nous communiquerons avec les candidats sélectionnés pour planifier une entrevue. Nous ferons notre possible pour communiquer par courriel ou par téléphone avec tous les candidats pour leur faire part de notre décision. + +Mesures d’adaptation + +L’accessibilité est importante pour nous. N’hésitez pas à nous faire part de toute mesure d’adaptation (salles de réunion accessibles, sous-titres pour les entrevues virtuelles, etc.) dont vous pourriez avoir besoin pour participer sans entraves au processus d’entrevue. + +Nous avons hâte d’avoir de vos nouvelles! + +Exigences Linguistiques (Québec Seulement) + +Sans Objet +Show more ","
+ + + + + +
+
+ Lieu De Travail

Toronto, Ontario, Canada

Horaire

37.5

Secteur D’activité

Analyses, informations et intelligence artificielle

Détails De La Rémunération

$76,800 - $136,800 CAD

Ce poste est admissible à une prime de rémunération variable discrétionnaire qui tient compte du rendement de l’entreprise et du rendement individuel.

La TD a à cœur d’offrir une rémunération juste et équitable à tous les collègues. Les occasions de croissance et le perfectionnement des compétences sont des caractéristiques essentielles de l’expérience collègue à la TD. Nos politiques et pratiques en matière de rémunération ont été conçues pour permettre aux collègues de progresser dans l’échelle salariale au fil du temps, à mesure qu’ils s’améliorent dans leurs fonctions. Le salaire de base offert peut varier en fonction des compétences et de l’expérience du candidat, de ses connaissances professionnelles, de son emplacement géographique et d’autres besoins particuliers du secteur et de l’entreprise.

En tant que candidat, nous vous encourageons à poser des questions sur la rémunération et à avoir une conversation franche avec votre recruteur, qui pourra vous fournir des détails plus précis sur ce poste.

Department Overview

Description du poste :

The Data Science team consists of professional roles that provide consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning; it leverages and interprets data and analytical product to provide business specific or broad strategic insight by using a variety of analytics techniques and audience-specific communication skills. This area can also focus on gathering, analyzing and modeling all kinds of data to develop business insights or analytics solutions and generally involves the use of broad range of statistical and/or mathematical models/techniques and tools.

Job Description

We will be offering a variety of roles from intermediate to senior level. The individuals are principally responsible for supporting specifically assigned data & analytics projects and often provide on-going analytical sights for specific business domains.

The roles may consist of (but not limited to) one or more of the following key areas:

  • Use a wide range of programing languages (e.g. Python) and data science techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data or build analytics solutions to answer impactful business questions and guide business decisions.
  • Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
  • Collaborate with other partners, such as data and business analysts, software engineer, data engineers, and application developers to develop scalable and sustainable data science solutions that retains on-going benefit to the business.
  • Identifies new analytical trends / data needs to improve repeatable analytic solutions.
  • Interdisciplinary field focused on processes and systems to extract knowledge or insights from data of various forms either structured or unstructured techniques.
  • Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics that may be applied across a variety of products, services, business lines, or segments.
  • Educate the organization on data science approaches, such as experimental test & learn, testing hypotheses and statistical validation of result.
  • Enhance business strategies by leveraging analytics and insights to foster strategic thinking, guiding the organization towards informed decisions and sustainable growth.
  • Help the organization understand the principles and the math behind the scientist process to drive organizational alignment.
  • Translate up to date information into continuous improvement activities that enhance Performance
  • Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
  • Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.
  • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.

Job Requirements

We are hiring for multiple roles, looking for below skillset(s):

  • Experience in Python, Cloud, SQL, Tableau
  • Experience in Anti-money Laundering functions is an asset.
  • Data engineering and reporting background is preferred.
  • Experience in visualization, particularly around Business Intelligence (Reporting, analytics and delivery).
  • Experience in forecasting – understanding of different forecasting techniques especially in linear regressions & time-series forecasting.
  • Experience/knowledge in setting test & control group & hypothesis testing.
  • Strong analytics & problem-solving skills
  • Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science) Graduate's degree preferred with either progressive project work experience.

Level

Min Years' Experience

Intermediate 3+ years

Senior 5+ years

  • Higher degree education and research tenure can be counted.

À propos de nous

La TD est un chef de file mondial dans le secteur des institutions financières. Elle représente la cinquième banque en Amérique du Nord de par son nombre de succursales. Chaque jour, nous offrons une expérience client légendaire à plus de 27 millions de ménages et d’entreprises au Canada, aux États-Unis et partout dans le monde. Plus de 95 000 collègues de la TD mettent en commun leurs compétences, leur talent et leur créativité au service de la Banque, des clients qu’elle sert et des économies qu’elle appuie. Nous sommes guidés par notre vision d’être une meilleure banque et par notre objectif d’enrichir la vie de nos clients, de nos collectivités et de nos collègues.

La TD est une entreprise profondément engagée à être une leader en matière d’expérience client. Voilà pourquoi nous croyons que chaque collègue, peu importe son secteur d’activité, est en contact avec la clientèle. En parallèle de l’évolution de nos activités et de notre stratégie, nous innovons afin d’améliorer l’expérience client et de créer des capacités pour façonner l’avenir des services bancaires. Que vous ayez plusieurs années d’expérience dans le secteur bancaire ou que vous commenciez tout juste votre carrière dans le domaine des services financiers, nous pouvons vous aider à réaliser votre plein potentiel. Vous pourrez compter sur nos programmes de formation et de mentorat et sur des conversations sur le perfectionnement et le leadership pour réaliser votre plein potentiel et atteindre vos objectifs. Notre croissance en tant qu’entreprise rime avec la vôtre.

Notre programme de rémunération globale

Notre programme de rémunération globale reflète les investissements que nous faisons pour aider nos collègues et leur famille à atteindre leurs objectifs en matière de bien-être mental, physique et financier. La rémunération globale à la TD inclut le salaire de base, la rémunération variable et bien d’autres régimes clés, comme des avantages sociaux en matière de santé et de bien-être, des régimes d’épargne et de retraite, des congés payés, des avantages bancaires et des rabais, des occasions de développement de carrière et des programmes de récompenses et reconnaissance. En savoir plus

Renseignements Supplémentaires

Nous sommes ravis que vous envisagiez une carrière à la TD. Sachez que nous avons à cœur d’aider nos collègues à réussir dans leur vie tant personnelle que professionnelle. C’est d’ailleurs pourquoi nous leur offrons des conversations sur le perfectionnement, des programmes de formation et un régime d’avantages sociaux concurrentiel.

Perfectionnement des collègues

Un cheminement professionnel particulier vous intéresse ou vous cherchez à acquérir certaines compétences? Nous tenons à vous mettre sur la voie de la réussite. Vous aurez des conversations régulières sur le développement de carrière, le perfectionnement et le rendement avec votre gestionnaire. Une variété de programmes de mentorat et une plateforme d’apprentissage en ligne seront également à votre disposition pour vous aider à ouvrir de nouvelles portes. Que vous ayez à cœur d’aider les clients et souhaitiez élargir votre expérience ou que vous préfériez coacher et inspirer vos collègues, sachez que la TD propose un grand nombre de cheminements professionnels et qu’elle s’engage à vous aider à relever les occasions qui vont dans le sens de vos objectifs.

Formation et intégration

Nous tenons à nous assurer que vous disposez des outils et ressources nécessaires pour réussir à votre nouveau poste. Dans cette optique, nous organiserons des séances d’intégration et de formation.

Processus d’entrevue

Nous communiquerons avec les candidats sélectionnés pour planifier une entrevue. Nous ferons notre possible pour communiquer par courriel ou par téléphone avec tous les candidats pour leur faire part de notre décision.

Mesures d’adaptation

L’accessibilité est importante pour nous. N’hésitez pas à nous faire part de toute mesure d’adaptation (salles de réunion accessibles, sous-titres pour les entrevues virtuelles, etc.) dont vous pourriez avoir besoin pour participer sans entraves au processus d’entrevue.

Nous avons hâte d’avoir de vos nouvelles!

Exigences Linguistiques (Québec Seulement)

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",2024-12-19,[] +4102040797,https://ca.linkedin.com/jobs/view/associate-research-scientist-at-radiant-biotherapeutics-4102040797?position=16&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=sarBwQMcj3UdIm7X6Cl8Eg%3D%3D,Associate Research Scientist,Radiant Biotherapeutics,"Toronto, Ontario, Canada","About Radiant: Radiant Biotherapeutics is an innovative biotechnology company advancing a breakthrough multi-valent and multi-specific platform - the Multabody – to deliver the transformative therapeutics to improve human health. Built upon the IgG framework, Multabodies are plug and play, with demonstrated superior potency and efficacy over antibody-based therapeutics. Recently funded and growing, Radiant is looking for scientifically curious and passionate individuals who thrive in a fast-paced, cross-disciplinary, and collaborative environment. + + + + +About the Role: As an Associate Research Scientist, you will be focused on supporting the advancement of the Multabody platform from discovery through preclinical development. This role includes using the latest technologies in molecular biology, protein expression/purification and bioanalytical techniques to generate and QC high quality Multabody therapeutics. This role is a fantastic opportunity to make important contributions towards the development of transformative therapies for patients who need them the most. + + + + +Responsibilities: + + + + +Perform recombinant DNA activities, including DNA construct design, plasmid preparation, and bacterial transformation +Maintain and transfect mammalian cells such as CHO or HEK293 cells +Purify recombinant proteins using affinity chromatography, SEC and/or IEX +Perform analysis of purified proteins using HPLC and other biophysical instrumentation +Utilize electronic system for sample identification, processing, and tracking +Operate and maintain laboratory equipment according to established procedures +Analyze, interpret and present results at team meetings +Diligently maintain records of experimental data in Electronic Laboratory Notebook + + + + +Qualifications: + + + + +MSc degree in Biochemistry, Molecular Biology, or Analytical Chemistry, or BSc degree with 2+ years of relevant working experience +Expertise in molecular biology techniques including plasmid DNA purification, SDS-PAGE and western blotting +Experience in tissue culture, protein purification and/or bioanalytical techniques +Prior experience with protein expression in mammalian transient or stable cell lines is highly desirable +Previous experience in drug development in a pharma and/or biotech environment a strong plus + + + + +Who you are: + + + + +A driven and rigorous scientist who is passionate about improving patients’ lives +Highly organized, with excellent time management and planning skills +Detailed oriented with strong problem-solving abilities +An excellent communicator (written and verbal) +Committed to continuous learning and improvement +A highly collaborative team member who thrives in a science-focused, fast-paced start-up environment + + + + +Location/Start Date + + + + +Based in Toronto +Start date immediate + + + + +To apply Please submit your application with a CV and cover letter to info@radiantbio.com by January 13th 2025. Due to the large volume of applications, we will only be able to respond to those who are selected for an interview. + +Show more ","
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+

About Radiant: Radiant Biotherapeutics is an innovative biotechnology company advancing a breakthrough multi-valent and multi-specific platform - the Multabody – to deliver the transformative therapeutics to improve human health. Built upon the IgG framework, Multabodies are plug and play, with demonstrated superior potency and efficacy over antibody-based therapeutics. Recently funded and growing, Radiant is looking for scientifically curious and passionate individuals who thrive in a fast-paced, cross-disciplinary, and collaborative environment.


About the Role: As an Associate Research Scientist, you will be focused on supporting the advancement of the Multabody platform from discovery through preclinical development. This role includes using the latest technologies in molecular biology, protein expression/purification and bioanalytical techniques to generate and QC high quality Multabody therapeutics. This role is a fantastic opportunity to make important contributions towards the development of transformative therapies for patients who need them the most.


Responsibilities:


  • Perform recombinant DNA activities, including DNA construct design, plasmid preparation, and bacterial transformation
  • Maintain and transfect mammalian cells such as CHO or HEK293 cells
  • Purify recombinant proteins using affinity chromatography, SEC and/or IEX
  • Perform analysis of purified proteins using HPLC and other biophysical instrumentation
  • Utilize electronic system for sample identification, processing, and tracking
  • Operate and maintain laboratory equipment according to established procedures
  • Analyze, interpret and present results at team meetings
  • Diligently maintain records of experimental data in Electronic Laboratory Notebook


Qualifications:


  • MSc degree in Biochemistry, Molecular Biology, or Analytical Chemistry, or BSc degree with 2+ years of relevant working experience
  • Expertise in molecular biology techniques including plasmid DNA purification, SDS-PAGE and western blotting
  • Experience in tissue culture, protein purification and/or bioanalytical techniques
  • Prior experience with protein expression in mammalian transient or stable cell lines is highly desirable
  • Previous experience in drug development in a pharma and/or biotech environment a strong plus


Who you are:


  • A driven and rigorous scientist who is passionate about improving patients’ lives
  • Highly organized, with excellent time management and planning skills
  • Detailed oriented with strong problem-solving abilities
  • An excellent communicator (written and verbal)
  • Committed to continuous learning and improvement
  • A highly collaborative team member who thrives in a science-focused, fast-paced start-up environment


Location/Start Date


  • Based in Toronto
  • Start date immediate


To apply Please submit your application with a CV and cover letter to info@radiantbio.com by January 13th 2025. Due to the large volume of applications, we will only be able to respond to those who are selected for an interview.

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",2024-12-17,[] +4100067241,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-akkodis-4100067241?position=18&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=flrIWhAoQqFF9nEQKxymQQ%3D%3D,Machine Learning Engineer,Akkodis,"Toronto, Ontario, Canada","ML Engineer + +Join an innovative AI-driven team as a Python AI/ML Engineer. In this exciting role, you'll utilize your expertise in deploying ML models at a production scale to enhance our cutting-edge AI products. This position offers a dynamic environment where you'll take ownership of API development for AI algorithms and pioneering AI innovations. Work closely with a collaborative team of developers and data scientists, contributing to an innovative tech landscape that thrives on advanced machine learning capabilities + +Benefits + +Experience the challenge of working with advanced AI and ML technologies on a contract basis +Engage in a vibrant team dynamic where your contributions make a significant impact +Expand your professional network within the AI/ML technology sector +Competitive compensation structure aligned with your expertise and experience +Opportunities for professional growth by working in a leading tech-driven environment + +What You Will Do? + +Design scalable backend services using FastAPI for ML model deployment and inference +Implement state-of-the-art ML algorithms across various platforms and frameworks +Coordinate with development teams to determine precise application integration points +Ensure security practices are maintained to safeguard sensitive data and compliance +Manage the complete software development lifecycle from planning to support + +Your Skills + +Possess a Bachelor's degree in relevant fields or equivalent work experience in ML engineering +Demonstrated experience in Python, AI/ML solutions, and related technologies +Proficiency in FastAPI, extensive usage of SQL/NoSQL databases, and Linux OS +Practical knowledge of cloud-based AI/ML services like AWS, GCP, or Azure +Effective communication skills necessary to convey complex technical concepts clearly + +Show more ","
+ + + + + +
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+

ML Engineer

Join an innovative AI-driven team as a Python AI/ML Engineer. In this exciting role, you'll utilize your expertise in deploying ML models at a production scale to enhance our cutting-edge AI products. This position offers a dynamic environment where you'll take ownership of API development for AI algorithms and pioneering AI innovations. Work closely with a collaborative team of developers and data scientists, contributing to an innovative tech landscape that thrives on advanced machine learning capabilities

Benefits

  • Experience the challenge of working with advanced AI and ML technologies on a contract basis
  • Engage in a vibrant team dynamic where your contributions make a significant impact
  • Expand your professional network within the AI/ML technology sector
  • Competitive compensation structure aligned with your expertise and experience
  • Opportunities for professional growth by working in a leading tech-driven environment

What You Will Do?

  • Design scalable backend services using FastAPI for ML model deployment and inference
  • Implement state-of-the-art ML algorithms across various platforms and frameworks
  • Coordinate with development teams to determine precise application integration points
  • Ensure security practices are maintained to safeguard sensitive data and compliance
  • Manage the complete software development lifecycle from planning to support

Your Skills

  • Possess a Bachelor's degree in relevant fields or equivalent work experience in ML engineering
  • Demonstrated experience in Python, AI/ML solutions, and related technologies
  • Proficiency in FastAPI, extensive usage of SQL/NoSQL databases, and Linux OS
  • Practical knowledge of cloud-based AI/ML services like AWS, GCP, or Azure
  • Effective communication skills necessary to convey complex technical concepts clearly

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",2024-12-13,[] +4092123687,https://ca.linkedin.com/jobs/view/machine-learning-scientist-at-coalition-inc-4092123687?position=21&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=km8LlRD%2FPgHviCtfiTZg8Q%3D%3D,Machine Learning Scientist,"Coalition, Inc.",Canada,"About us + + +Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines broad insurance coverage with a digital risk assessment and continuous security monitoring to help organizations protect themselves in today’s hyper-connected world. + + + + +Opportunities to make an impact with bold thinking are real - and happening daily. + +About the role + + +Coalition is seeking a motivated and enthusiastic Machine Learning Scientist I to join our growing AI team. This position offers an exciting opportunity to work on the forefront of AI technology, specifically focusing on Large Language Models (LLMs), Agentic models, and other cutting-edge developments in machine learning. You'll collaborate with experienced ML scientists and engineers to develop and enhance intelligent models that address our business challenges, contributing to AI-driven initiatives. + + +Responsibilities + + + +Assist in the development and execution of machine learning projects, from data gathering and analysis to model prototyping and evaluation. + + +Support the design and implementation of ML pipelines with a focus on LLMs and agentic models for tasks such as data preprocessing, feature engineering, and model training. + + +Stay updated with recent advancements in AI research, particularly in LLMs and agentic models, and explore their application within our projects. + + +Communicate your learning and progress effectively, seeking guidance to enhance your skills and understanding in these advanced areas. + + +Contribute to fostering a culture of learning and continuous improvement by sharing insights around cutting-edge AI technologies with the team. + + + +Skills and Qualifications + + + +Bachelor's degree in a quantitative or computational field (e.g., Computer Science, Data Science, Statistics) or equivalent practical experience. + + +Familiarity with machine learning methods and basic statistical analysis techniques. + + +Exposure to neural networks and deep learning technologies, including some understanding of LLMs and agentic models. + + +Proficiency in Python and a basic understanding of SQL. + + +Eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude. + + +Strong communication skills with the ability to articulate technical concepts to both technical and non-technical audiences. + + + +Bonus Skills + + + +Basic experience with deep learning frameworks, such as PyTorch or TensorFlow, and their application in LLMs. + + +Experience with cloud platforms like AWS. + + +Interest or coursework in AI applications within industries such as Insurance or Fintech. + + +Experience with DBT, Airflow or similar analytics workflow tools is a big plus + + + +Perks + + + +100% medical, dental, and vision coverage + + +Flexible PTO + + +Annual home office stipend and WeWork access + + +Mental & physical health wellness programs like Headspace, Lumino, and more! + + +Competitive compensation and opportunity for advancement + + +Why Coalition?  + + +We’re a remote-first, mission-driven team committed to building a more inclusive culture with people of all different backgrounds. We trust our team members to take responsibility, share ownership, and put in the work to help us in our pursuit to solve digital risk. + + + + +Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes and remain true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion.  + + + + +We’re always looking for collaborative, inquisitive individuals to join #OurCoalition. + + + + +Visit our Newsroom >  + + + + +  + + +Privacy Notice + + +Coalition is committed to protecting your privacy and handling your personal information responsibly. We collect, use, and store personal information as necessary for the recruitment process and in compliance with applicable privacy laws and regulations in all regions where we operate. We want you to understand what personal information we collect, how we use it, and your rights regarding access, correction, and deletion of your data where applicable. Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy. For further details, please review our full Privacy Policy or contact us with any questions regarding how your information is handled. + + + + +Our Privacy Policy >  + + + + +  + + + + +Anti-Discrimination Notice + + + + +Coalition is proud to be an Equal Opportunity employer. Our policy is to provide equal employment opportunities to all individuals, without discrimination or harassment on the basis of any characteristic protected by applicable laws in each country where we operate. This commitment includes, but is not limited to, ensuring equal treatment in recruitment, selection, training, promotion, transfer, compensation, and all other aspects of employment. Coalition does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace. + + + + +  + + +Accommodations + + +Coalition is committed to providing reasonable accommodations to qualified individuals with disabilities, including applicants and employees, in accordance with applicable laws and regulations in each country where we operate. Our policy is to support equal opportunity in the hiring process by considering qualified applicants regardless of disability or other protected characteristics, unless providing accommodation would impose an undue hardship or disproportionate burden. If you require accommodation to complete an application, interview, pre-employment testing, or participate in the selection process, please contact us at candidateaccommodations@coalitioninc.com. We also consider all qualified applicants, including those with criminal histories, in line with applicable laws and regulations in each jurisdiction. + + + + +  + + + + +To all recruitment agencies: Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes. + +Show more ","
+ + + + + +
+
+ About us

Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines broad insurance coverage with a digital risk assessment and continuous security monitoring to help organizations protect themselves in today’s hyper-connected world.


Opportunities to make an impact with bold thinking are real - and happening daily.

About the role

Coalition is seeking a motivated and enthusiastic Machine Learning Scientist I to join our growing AI team. This position offers an exciting opportunity to work on the forefront of AI technology, specifically focusing on Large Language Models (LLMs), Agentic models, and other cutting-edge developments in machine learning. You'll collaborate with experienced ML scientists and engineers to develop and enhance intelligent models that address our business challenges, contributing to AI-driven initiatives.


Responsibilities

  • Assist in the development and execution of machine learning projects, from data gathering and analysis to model prototyping and evaluation.

  • Support the design and implementation of ML pipelines with a focus on LLMs and agentic models for tasks such as data preprocessing, feature engineering, and model training.

  • Stay updated with recent advancements in AI research, particularly in LLMs and agentic models, and explore their application within our projects.

  • Communicate your learning and progress effectively, seeking guidance to enhance your skills and understanding in these advanced areas.

  • Contribute to fostering a culture of learning and continuous improvement by sharing insights around cutting-edge AI technologies with the team.


Skills and Qualifications

  • Bachelor's degree in a quantitative or computational field (e.g., Computer Science, Data Science, Statistics) or equivalent practical experience.

  • Familiarity with machine learning methods and basic statistical analysis techniques.

  • Exposure to neural networks and deep learning technologies, including some understanding of LLMs and agentic models.

  • Proficiency in Python and a basic understanding of SQL.

  • Eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude.

  • Strong communication skills with the ability to articulate technical concepts to both technical and non-technical audiences.


Bonus Skills

  • Basic experience with deep learning frameworks, such as PyTorch or TensorFlow, and their application in LLMs.

  • Experience with cloud platforms like AWS.

  • Interest or coursework in AI applications within industries such as Insurance or Fintech.

  • Experience with DBT, Airflow or similar analytics workflow tools is a big plus


Perks

  • 100% medical, dental, and vision coverage

  • Flexible PTO

  • Annual home office stipend and WeWork access

  • Mental & physical health wellness programs like Headspace, Lumino, and more!

  • Competitive compensation and opportunity for advancement

Why Coalition? 

We’re a remote-first, mission-driven team committed to building a more inclusive culture with people of all different backgrounds. We trust our team members to take responsibility, share ownership, and put in the work to help us in our pursuit to solve digital risk.


Coalition’s exceptional growth stems from its ability to address real-world problems for organizations of all sizes and remain true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion. 


We’re always looking for collaborative, inquisitive individuals to join #OurCoalition.


Visit our Newsroom > 


 


Privacy Notice

Coalition is committed to protecting your privacy and handling your personal information responsibly. We collect, use, and store personal information as necessary for the recruitment process and in compliance with applicable privacy laws and regulations in all regions where we operate. We want you to understand what personal information we collect, how we use it, and your rights regarding access, correction, and deletion of your data where applicable. Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy. For further details, please review our full Privacy Policy or contact us with any questions regarding how your information is handled.


Our Privacy Policy > 


 


Anti-Discrimination Notice


Coalition is proud to be an Equal Opportunity employer. Our policy is to provide equal employment opportunities to all individuals, without discrimination or harassment on the basis of any characteristic protected by applicable laws in each country where we operate. This commitment includes, but is not limited to, ensuring equal treatment in recruitment, selection, training, promotion, transfer, compensation, and all other aspects of employment. Coalition does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace.


 


Accommodations

Coalition is committed to providing reasonable accommodations to qualified individuals with disabilities, including applicants and employees, in accordance with applicable laws and regulations in each country where we operate. Our policy is to support equal opportunity in the hiring process by considering qualified applicants regardless of disability or other protected characteristics, unless providing accommodation would impose an undue hardship or disproportionate burden. If you require accommodation to complete an application, interview, pre-employment testing, or participate in the selection process, please contact us at candidateaccommodations@coalitioninc.com. We also consider all qualified applicants, including those with criminal histories, in line with applicable laws and regulations in each jurisdiction.


 


To all recruitment agencies: Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes.

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",2024-12-06,[] +4011220682,https://ca.linkedin.com/jobs/view/senior-data-scientist-pay-area-pricing-at-asana-4011220682?position=24&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=Q8LuK%2B%2F4BBFnKZIjeTzN%2BA%3D%3D,"Senior Data Scientist - Pay Area, Pricing",Asana,"Vancouver, British Columbia, Canada","Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. + +This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. + +What You’ll Achieve + + +Designing and analyzing experiments and causal analyses to support pricing decisions, improve pricing models, and inform our product and business roadmap +Building models to identify solutions for price optimization +Defining and adding new metrics and aggregations to our data warehouse to make new classes of questions answerable +Building dashboards to track the health of our pricing models +Contributing to executive reporting on the effectiveness of pricing and packaging changes +Influencing business decisions through data-driven insights +Communicating effectively and presenting to both technical and non-technical audiences +Mentoring junior data scientists to drive business-relevant results + + +About You + + +Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience +4+ years of experience in applying data science techniques to drive technical product development and decision-making; ideally, part of this prior experience will include Pricing +Strong technical background in statistics, math, computer science, information science, or another quantitative field +Fluency in at least one data processing and programming language (e.g. Python, Scala), relational data modeling and SQL, familiarity with distributed data processing systems (e.g. Spark, Redshift) +Expertise in statistical methods and experimental design and analysis +Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning +Excellent written and verbal communication skills +Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations + + +At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. + +What We’ll Offer + +Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. + +For this role, the estimated base salary range is between $176,000 CAD - $224,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. + +In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. + +We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: + + +Mental health, wellness & fitness benefits +Career coaching & support +Inclusive family building benefits +Long-term savings or retirement plans +In-office culinary options to cater to your dietary preferences + + +These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. + +About Us + +Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture . With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. + +We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. + + +Show more ","
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+ Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What You’ll Achieve

  • Designing and analyzing experiments and causal analyses to support pricing decisions, improve pricing models, and inform our product and business roadmap
  • Building models to identify solutions for price optimization
  • Defining and adding new metrics and aggregations to our data warehouse to make new classes of questions answerable
  • Building dashboards to track the health of our pricing models
  • Contributing to executive reporting on the effectiveness of pricing and packaging changes
  • Influencing business decisions through data-driven insights
  • Communicating effectively and presenting to both technical and non-technical audiences
  • Mentoring junior data scientists to drive business-relevant results

About You

  • Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience
  • 4+ years of experience in applying data science techniques to drive technical product development and decision-making; ideally, part of this prior experience will include Pricing
  • Strong technical background in statistics, math, computer science, information science, or another quantitative field
  • Fluency in at least one data processing and programming language (e.g. Python, Scala), relational data modeling and SQL, familiarity with distributed data processing systems (e.g. Spark, Redshift)
  • Expertise in statistical methods and experimental design and analysis
  • Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning
  • Excellent written and verbal communication skills
  • Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What We’ll Offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $176,000 CAD - $224,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

  • Mental health, wellness & fitness benefits
  • Career coaching & support
  • Inclusive family building benefits
  • Long-term savings or retirement plans
  • In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

About Us

Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor’s and Inc.’s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture . With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.

We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations.

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+ +
",2024-12-13,[] +4112054999,https://ca.linkedin.com/jobs/view/ai-data-scientist-internship-at-refonte-learning-4112054999?position=27&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=zl1mS5mAlEItmo53cb63XQ%3D%3D,AI & Data Scientist Internship,Refonte Learning,Canada,"About Refonte AI: + +Refonte (Refonte AI) stands as a global leader in IT, celebrated for delivering high-quality IT and EdTech solutions. Our expertise spans Artificial Intelligence (AI), digital marketing, data science, data analytics, UI-UX design, web development, and app development. At Refonte, we’re committed to fostering innovation, supporting excellence, and nurturing talent worldwide. + + + + +Discover More: https://refontelearning.com + + + + +Position: AI, Data Science, DevOps, and Cloud Internship + + + + +Location: Remote, based in Canada + + + + +Why Join Us? + +This internship offers a remarkable opportunity to gain hands-on experience in AI, Data Science, DevOps, and Cloud technologies. You’ll work on meaningful projects, helping to develop groundbreaking solutions. If you’re passionate about technology and eager to learn, we encourage you to apply and be a part of our team. + + + + +Program Overview: + +Refonte is inviting motivated individuals to participate in our distinguished AI & Data Science Study and Internship Program. This comprehensive program allows participants to collaborate closely with our AI and data science experts on diverse, impactful projects. + +Our RIGTIP (Refonte Infini Global Training & Internship Program) is structured to deliver foundational to advanced AI & Data Science learning, along with real-world project experience across multiple global regions including Oceania, Asia, Europe, and the Americas—all in a flexible, remote work environment. + + + + +Role Summary: + +As an intern specializing in AI, Data Science, DevOps, and Cloud, you’ll have the unique opportunity to explore these integrated fields by working on innovative projects. You’ll gain practical experience, collaborate with a team of skilled professionals, and apply advanced techniques to real-world scenarios. + + + + +Key Responsibilities: + +Work with cross-functional teams to create, deploy, and manage AI-driven solutions. +Support data gathering, cleansing, and analysis efforts to provide actionable insights. +Aid in building scalable data pipelines for model training and deployment. +Help integrate machine learning models into production systems, utilizing DevOps methodologies. +Contribute to the design and enhancement of CI/CD pipelines for seamless AI application deployment on cloud platforms. +Assist with cloud infrastructure setup, configuration, and monitoring using AWS, Azure, or Google Cloud. +Translate business needs into technical solutions in collaboration with data scientists and engineers. +Investigate emerging trends and tools in AI, Data Science, DevOps, and Cloud. +Contribute to documentation, ensuring knowledge sharing and adherence to best practices. + + + + +Exciting Projects You’ll Tackle: + +Multi-Cloud AI Infrastructure: Configure, automate, and deploy AI infrastructure across multiple cloud platforms. +Full Stack AI DevOps & Development: Engage in end-to-end AI DevOps and development processes. +Generative AI & LLM Models: Work with advanced AI models to process inputs like text, images, audio, and video, generating transformative outputs. +Financial Fraud Detection: Develop models to detect and prevent financial fraud. +Personalized Recommender Systems: Build recommendation engines to elevate user experiences. +Sentiment Analysis: Derive insights from text data to enhance customer sentiment understanding. +Intelligent Chatbots: Design and develop AI-powered chatbots for enhanced user interaction. +Multimedia Classification: Work on classifying images, audio, and video for various applications. +Text Analytics: Apply sophisticated text analysis techniques to reveal hidden patterns in data. + + + + +What We’re Looking For: + +Enrolled in a degree program with a commitment to continuous learning and skill growth. +Strong communication skills, essential for collaboration and presenting complex ideas clearly. +A collaborative team player with adaptability, able to work independently as needed. + + + + +Benefits: + +This internship provides the chance to immerse yourself in AI, Data Science, DevOps, and Cloud technologies while working on meaningful projects. Join us if you’re passionate about technology, eager to develop new skills, and excited to make a difference. + + + + +Discover More: https://refontelearning.com + + + + +Additional Details: + +Program Structure: This is an unpaid, remote AI & Data Science Study and Internship Program. Following your application, our team will guide you through the application and onboarding process. +Location: Remote, based in Canada + + + + +Thank you for considering Refonte AI for your professional development in data science. We look forward to welcoming you to our innovative team! + +Show more ","
+ + + + + +
+
+

About Refonte AI:

Refonte (Refonte AI) stands as a global leader in IT, celebrated for delivering high-quality IT and EdTech solutions. Our expertise spans Artificial Intelligence (AI), digital marketing, data science, data analytics, UI-UX design, web development, and app development. At Refonte, we’re committed to fostering innovation, supporting excellence, and nurturing talent worldwide.


Discover More: https://refontelearning.com


Position: AI, Data Science, DevOps, and Cloud Internship


Location: Remote, based in Canada


Why Join Us?

This internship offers a remarkable opportunity to gain hands-on experience in AI, Data Science, DevOps, and Cloud technologies. You’ll work on meaningful projects, helping to develop groundbreaking solutions. If you’re passionate about technology and eager to learn, we encourage you to apply and be a part of our team.


Program Overview:

Refonte is inviting motivated individuals to participate in our distinguished AI & Data Science Study and Internship Program. This comprehensive program allows participants to collaborate closely with our AI and data science experts on diverse, impactful projects.

Our RIGTIP (Refonte Infini Global Training & Internship Program) is structured to deliver foundational to advanced AI & Data Science learning, along with real-world project experience across multiple global regions including Oceania, Asia, Europe, and the Americas—all in a flexible, remote work environment.


Role Summary:

As an intern specializing in AI, Data Science, DevOps, and Cloud, you’ll have the unique opportunity to explore these integrated fields by working on innovative projects. You’ll gain practical experience, collaborate with a team of skilled professionals, and apply advanced techniques to real-world scenarios.


Key Responsibilities:

  • Work with cross-functional teams to create, deploy, and manage AI-driven solutions.
  • Support data gathering, cleansing, and analysis efforts to provide actionable insights.
  • Aid in building scalable data pipelines for model training and deployment.
  • Help integrate machine learning models into production systems, utilizing DevOps methodologies.
  • Contribute to the design and enhancement of CI/CD pipelines for seamless AI application deployment on cloud platforms.
  • Assist with cloud infrastructure setup, configuration, and monitoring using AWS, Azure, or Google Cloud.
  • Translate business needs into technical solutions in collaboration with data scientists and engineers.
  • Investigate emerging trends and tools in AI, Data Science, DevOps, and Cloud.
  • Contribute to documentation, ensuring knowledge sharing and adherence to best practices.


Exciting Projects You’ll Tackle:

  • Multi-Cloud AI Infrastructure: Configure, automate, and deploy AI infrastructure across multiple cloud platforms.
  • Full Stack AI DevOps & Development: Engage in end-to-end AI DevOps and development processes.
  • Generative AI & LLM Models: Work with advanced AI models to process inputs like text, images, audio, and video, generating transformative outputs.
  • Financial Fraud Detection: Develop models to detect and prevent financial fraud.
  • Personalized Recommender Systems: Build recommendation engines to elevate user experiences.
  • Sentiment Analysis: Derive insights from text data to enhance customer sentiment understanding.
  • Intelligent Chatbots: Design and develop AI-powered chatbots for enhanced user interaction.
  • Multimedia Classification: Work on classifying images, audio, and video for various applications.
  • Text Analytics: Apply sophisticated text analysis techniques to reveal hidden patterns in data.


What We’re Looking For:

  • Enrolled in a degree program with a commitment to continuous learning and skill growth.
  • Strong communication skills, essential for collaboration and presenting complex ideas clearly.
  • A collaborative team player with adaptability, able to work independently as needed.


Benefits:

This internship provides the chance to immerse yourself in AI, Data Science, DevOps, and Cloud technologies while working on meaningful projects. Join us if you’re passionate about technology, eager to develop new skills, and excited to make a difference.


Discover More: https://refontelearning.com


Additional Details:

  • Program Structure: This is an unpaid, remote AI & Data Science Study and Internship Program. Following your application, our team will guide you through the application and onboarding process.
  • Location: Remote, based in Canada


Thank you for considering Refonte AI for your professional development in data science. We look forward to welcoming you to our innovative team!

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-28,[] +4090320889,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-synechron-4090320889?position=30&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=S%2B01tRYVN%2B%2FV%2BLfnWkfAUQ%3D%3D,Machine Learning Engineer,Synechron,"Toronto, Ontario, Canada","We are + +At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. + + + + +Our challenge + +We are looking for a Machine Learning Engineer to produce scalable software solutions. Candidate be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, candidate should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. Candidate should also be a team player with a knack for visual design and utility. + + + + +The Role + +Responsibilities: + +Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems. +Working with a team to build digital applications to integrate with ML solution solutions to the users. +Mentor and guide junior engineers, providing technical expertise and leadership in ML projects. +Collaborate with cross-functional teams to integrate ML solutions into various product features. +Work with large datasets to identify trends, patterns, and insights that drive decision-making. +Implement and optimize ML models for high availability, scalability, and performance in production environments. +Stay up-to-date with the latest advancements in AI/ML technologies and apply them to improve our systems. +Participate in continuous learning and knowledge sharing to ensure the team is always at the cutting edge of technology. +Conduct code reviews, participate in technical design sessions, and provide mentorship to junior engineers. +Troubleshoot and resolve issues related to ML models and data pipelines. +Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner. +Develop and maintain comprehensive documentation for ML models and processes. +Provide strategic input into project planning and execution, ensuring alignment with business goals. + + + + +Requirements: + +You are: + +Extensive experience in software development with at least 5-7 years of hands-on expertise in machine learning. +Proven leadership skills with the ability to mentor and guide junior engineers. +Proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. +Strong programming skills & experience writing clean code in languages like Python, Java, or similar. +1-2 Experience in Building digital applications using Django or Spring Boot frameworks +Experience with data handling, pre-processing, and pipeline development, including proficiency in SQL/NoSQL databases. +Knowledge of AI technologies, including Gen AI, LLMs, and semantic search. +Strong understanding of security architecture and data privacy regulations. +Excellent problem-solving skills and a passion for continuous learning and innovation. +Effective communication skills, capable of presenting technical concepts to non-technical audiences. +Ability to work collaboratively in a cross-functional team environment. +Open-minded, receptive to new ideas, and always looking for a better way to do something. +A passion for simplifying and automating work, making things better, continuous learning, open-ended problems, efficiency and helping others +Knowledgeable about containers and orchestration (e.g. Docker, Kubernetes) + + + + +Preferred skills: + +Experience in banking domain. + + + + + + + +We can offer you: + +A multinational organization with 58 offices in 21 countries and the possibility to work abroad +15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days) +A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability +Flexible hybrid policy to fit your schedule +RRSP with employer’s contribution up to 4% +A higher education certification policy +On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses +Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups +Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms +A truly diverse, fun-loving and global work culture + + + + + + + +S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT + +Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. + + + + +All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. + +Show more ","
+ + + + + +
+
+

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.


Our challenge

We are looking for a Machine Learning Engineer to produce scalable software solutions. Candidate be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, candidate should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. Candidate should also be a team player with a knack for visual design and utility.


The Role

Responsibilities:

  • Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems.
  • Working with a team to build digital applications to integrate with ML solution solutions to the users.
  • Mentor and guide junior engineers, providing technical expertise and leadership in ML projects.
  • Collaborate with cross-functional teams to integrate ML solutions into various product features.
  • Work with large datasets to identify trends, patterns, and insights that drive decision-making.
  • Implement and optimize ML models for high availability, scalability, and performance in production environments.
  • Stay up-to-date with the latest advancements in AI/ML technologies and apply them to improve our systems.
  • Participate in continuous learning and knowledge sharing to ensure the team is always at the cutting edge of technology.
  • Conduct code reviews, participate in technical design sessions, and provide mentorship to junior engineers.
  • Troubleshoot and resolve issues related to ML models and data pipelines.
  • Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
  • Develop and maintain comprehensive documentation for ML models and processes.
  • Provide strategic input into project planning and execution, ensuring alignment with business goals.


Requirements:

You are:

  • Extensive experience in software development with at least 5-7 years of hands-on expertise in machine learning.
  • Proven leadership skills with the ability to mentor and guide junior engineers.
  • Proficiency in ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Strong programming skills & experience writing clean code in languages like Python, Java, or similar.
  • 1-2 Experience in Building digital applications using Django or Spring Boot frameworks
  • Experience with data handling, pre-processing, and pipeline development, including proficiency in SQL/NoSQL databases.
  • Knowledge of AI technologies, including Gen AI, LLMs, and semantic search.
  • Strong understanding of security architecture and data privacy regulations.
  • Excellent problem-solving skills and a passion for continuous learning and innovation.
  • Effective communication skills, capable of presenting technical concepts to non-technical audiences.
  • Ability to work collaboratively in a cross-functional team environment.
  • Open-minded, receptive to new ideas, and always looking for a better way to do something.
  • A passion for simplifying and automating work, making things better, continuous learning, open-ended problems, efficiency and helping others
  • Knowledgeable about containers and orchestration (e.g. Docker, Kubernetes)


Preferred skills:

  • Experience in banking domain.



We can offer you:

  • A multinational organization with 58 offices in 21 countries and the possibility to work abroad
  • 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days)
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability
  • Flexible hybrid policy to fit your schedule
  • RRSP with employer’s contribution up to 4%
  • A higher education certification policy
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms
  • A truly diverse, fun-loving and global work culture



S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-04,[] +4103352433,https://ca.linkedin.com/jobs/view/software-engineer-machine-learning-at-hop-labs-4103352433?position=33&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=34MNwGeGEkbOmLN%2BbTe6Ww%3D%3D,"Software Engineer, Machine Learning",Hop Labs,Canada,"Hop Labs works with organizations to build and deploy machine learning production systems at scale. Our clients range from startups to Fortune 10, and projects can vary widely - from greenfield LLM generative AI products to engineering support in the autonomous vehicle space to building bespoke, scalable experiment frameworks. We are a fully distributed company, working remotely across the United States. While our projects often involve Python, PyTorch, and AWS, we are always ready to use the right tool for the job. + +Some quick facts about Hop Labs: + + +100% remote, primarily based in the U.S +10-15 team members, depending on our project mix at any given time +Exclusively focused on technical consulting around production-scale machine learning +Results-oriented work environment with a lot of flexibility -- we value life outside of work + + +For more information about the company and the team, please check out our website. + +(Please no staffing agencies/C2C. We are also unable to handle visa sponsorship at this time.) + +BE AWARE OF SCAMS: Our team communicates with applicants only from a workablemail.com or hoplabs.com email address. Any similar email domains are fraudulent. + +Requirements + +We are looking to hire a Machine Learning Software Engineer. Titles can be arbitrary, but for us this means a software engineer who writes code, builds infrastructure, and implements machine learning algorithms. You should consider yourself a good fit for this if: + + +You have experience building and improving ML-powered systems and an interest in developing your skills there - bonus points if you're interested in LLMs, generative AI, or deep learning in general. +You enjoy solving hard technical problems at scale, for real business impact +You're comfortable proposing end-to-end technical architectures that balance modularity, scalability, operations, security, and cost +You understand that clarity and simplicity -- in code and in communication -- are worth striving for +You have 5+ years of professional experience in software engineering and are able to present as an expert in client-facing situations + + +As a distributed team, some key qualities are particularly important for all of us at Hop Labs: + + +A strong sense of ownership and initiative: You take your task or issue seriously and proactively drive it start-to-finish +Clear and consistent communication: You can speak to lay people and engineers alike about issues, and keep teammates and clients informed on progress +A collaborative mindset: You approach your work as part of a larger team effort, and can take and give constructive feedback well +Clear thinking and attention to detail for complex projects: You are committed to a crisp understanding of what you're doing and why, paired with careful planning and attention to details +Comfort with operating independently as well as part of a small, targeted team: You are flexible in working successfully in either context, in a fully remote environment + + +What we're looking for specifically for this role: + + +Experience with construction and design of the entire ML pipeline, including training, deployment, and hosting in a production environment, using engineering best practices (e.g., unit testing, monitoring, logging) +Fluency in the Python ML/data science stack (e.g., PyTorch, Scikit-Learn, Pandas) +Proficiency in cloud engineering (AWS/Azure/GCP) and infrastructure-as-code (e.g., Terraform or equivalent) +Proficiency with ETL/data pipelines and data stores +Facility with web application technologies (e.g., FastAPI, UI development) +Open to all backgrounds, though deep learning/LLM background strongly preferred + + +Residency and authorization to work in the U.S. or Canada is required. + +If this role sounds like a good fit for you, please apply! We've made an effort to create a hiring process that is low-pressure, skills-focused, and compatible with the other commitments in your life. + +Benefits + +For our employees, we offer: + + +Medical, dental, and vision benefits +Life and disability insurance +Paid holidays and vacation time +Flexible work schedules +Show more ","
+ + + + + +
+
+ Hop Labs works with organizations to build and deploy machine learning production systems at scale. Our clients range from startups to Fortune 10, and projects can vary widely - from greenfield LLM generative AI products to engineering support in the autonomous vehicle space to building bespoke, scalable experiment frameworks. We are a fully distributed company, working remotely across the United States. While our projects often involve Python, PyTorch, and AWS, we are always ready to use the right tool for the job.

Some quick facts about Hop Labs:

  • 100% remote, primarily based in the U.S
  • 10-15 team members, depending on our project mix at any given time
  • Exclusively focused on technical consulting around production-scale machine learning
  • Results-oriented work environment with a lot of flexibility -- we value life outside of work

For more information about the company and the team, please check out our website.

(Please no staffing agencies/C2C. We are also unable to handle visa sponsorship at this time.)

BE AWARE OF SCAMS: Our team communicates with applicants only from a workablemail.com or hoplabs.com email address. Any similar email domains are fraudulent.

Requirements

We are looking to hire a Machine Learning Software Engineer. Titles can be arbitrary, but for us this means a software engineer who writes code, builds infrastructure, and implements machine learning algorithms. You should consider yourself a good fit for this if:

  • You have experience building and improving ML-powered systems and an interest in developing your skills there - bonus points if you're interested in LLMs, generative AI, or deep learning in general.
  • You enjoy solving hard technical problems at scale, for real business impact
  • You're comfortable proposing end-to-end technical architectures that balance modularity, scalability, operations, security, and cost
  • You understand that clarity and simplicity -- in code and in communication -- are worth striving for
  • You have 5+ years of professional experience in software engineering and are able to present as an expert in client-facing situations

As a distributed team, some key qualities are particularly important for all of us at Hop Labs:

  • A strong sense of ownership and initiative: You take your task or issue seriously and proactively drive it start-to-finish
  • Clear and consistent communication: You can speak to lay people and engineers alike about issues, and keep teammates and clients informed on progress
  • A collaborative mindset: You approach your work as part of a larger team effort, and can take and give constructive feedback well
  • Clear thinking and attention to detail for complex projects: You are committed to a crisp understanding of what you're doing and why, paired with careful planning and attention to details
  • Comfort with operating independently as well as part of a small, targeted team: You are flexible in working successfully in either context, in a fully remote environment

What we're looking for specifically for this role:

  • Experience with construction and design of the entire ML pipeline, including training, deployment, and hosting in a production environment, using engineering best practices (e.g., unit testing, monitoring, logging)
  • Fluency in the Python ML/data science stack (e.g., PyTorch, Scikit-Learn, Pandas)
  • Proficiency in cloud engineering (AWS/Azure/GCP) and infrastructure-as-code (e.g., Terraform or equivalent)
  • Proficiency with ETL/data pipelines and data stores
  • Facility with web application technologies (e.g., FastAPI, UI development)
  • Open to all backgrounds, though deep learning/LLM background strongly preferred

Residency and authorization to work in the U.S. or Canada is required.

If this role sounds like a good fit for you, please apply! We've made an effort to create a hiring process that is low-pressure, skills-focused, and compatible with the other commitments in your life.

Benefits

For our employees, we offer:

  • Medical, dental, and vision benefits
  • Life and disability insurance
  • Paid holidays and vacation time
  • Flexible work schedules
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-04,[] +4103530999,https://ca.linkedin.com/jobs/view/senior-data-scientist-at-tali-ai-4103530999?position=43&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=L%2BR7bYQOObNcZiFjsyt38Q%3D%3D,Senior Data Scientist,Tali AI,"Toronto, Ontario, Canada","Clinicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements, often aggravated by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the ""great resignation of healthcare"". + +Tali AI, one of the fastest growing AI companies in Canada, is dedicated to tackling the issue of physician burnout through the development of the leading AI Scribe for accurate clinical notes and documentation, designed specifically for Clinicians. By combining AI Scribe, which effortlessly captures and summarizes patient visits, Medical Dictation for accurate voice-to-text processing, and Medical Search for efficient information retrieval, we are helping thousands of clinicians reduce documentation time by over 30%, allowing them to focus more on patient care. + +We're looking for aSenior Data Scientist to play a critical role in data-driven decision-making as we continue to transform the healthcare system. You will work closely with cross-functional teams to develop advanced models and algorithms that solve complex problems in healthcare. If you’d like to help us continue to evolve Tali - Canada’s leading medical AI scribe, this is an opportunity to make a meaningful impact on healthcare by saving Clinicians time and reducing the administrative burden. Letting Clinicians focus on their patients, not paperwork. + +Who You Are: + + +You have at least 8years of industrial experience in NLP and/or Speech Recognition +You have developed, trained and deployed user-facing ML models in production +You have a strong background experiencein data science, statistical modelling, machine learning, and data analysis +You're proficientin programming languages such as Python +You have experience with data manipulation and analysis tools such as SQL, Pandas, and NumPy +You have a strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) +BONUS: You're familiarwith cloud platforms (e.g., Vertex, SageMaker) + + +What You’ll Do: + + +Develop, test, and implement advanced statistical models, machine learning algorithms, and predictive analytics to solve business problems +Work closely with Product Managers, Engineers, and other stakeholders to understand business needs and translate them into problems that need solving +Lead and mentor Data Scientists and Data Analysts, providing technical guidance, support, and mentorship +Design and implement scalable solutions for deploying models in production environments +Stay up-to-date with the latest data science techniques and technologies, and apply them to improve existing processes and solutions + + +Recruitment Process + +Here’s what to expect from the recruitment process: + + +Selected candidates will be contacted for an initial 30-minute interview +Team Interview (45 min) +Take Home Assessment +Hiring Manager Interview (45 min) +Decision Stage + + +Perks and Benefits: + + +Fully remote work & flexible work hours +Half day Fridays (35-hour work week) +Comprehensive health and wellness benefits from day one +Competitive vacation and company-wide holiday between Dec 25 - Jan 1 +Learning & development support +Quarterly socials & company outings + + +Working at Tali: + +Our core values: + + +Growth: we have a growth mindset; we want to learn and improve a little (or a lot!) every day +Purpose: we care about our team and our community; we understand the purpose of our work and take it seriously +Innovation: we're all about innovation and cutting edge technology; we don't shy away from a challenge + + +We thank all applicants for their interest; only those candidates selected for an interview will be contacted. Tali is committed to providing a barrier-free recruitment process for all candidates. Should you require accommodations at any point throughout the hiring process, please contact the Human Resources team at people@tali.ai. + +Powered by JazzHR + +n0s5BfrfcD +Show more ","
+ + + + + +
+
+ Clinicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements, often aggravated by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the ""great resignation of healthcare"".

Tali AI, one of the fastest growing AI companies in Canada, is dedicated to tackling the issue of physician burnout through the development of the leading AI Scribe for accurate clinical notes and documentation, designed specifically for Clinicians. By combining AI Scribe, which effortlessly captures and summarizes patient visits, Medical Dictation for accurate voice-to-text processing, and Medical Search for efficient information retrieval, we are helping thousands of clinicians reduce documentation time by over 30%, allowing them to focus more on patient care.

We're looking for aSenior Data Scientist to play a critical role in data-driven decision-making as we continue to transform the healthcare system. You will work closely with cross-functional teams to develop advanced models and algorithms that solve complex problems in healthcare. If you’d like to help us continue to evolve Tali - Canada’s leading medical AI scribe, this is an opportunity to make a meaningful impact on healthcare by saving Clinicians time and reducing the administrative burden. Letting Clinicians focus on their patients, not paperwork.

Who You Are:

  • You have at least 8years of industrial experience in NLP and/or Speech Recognition
  • You have developed, trained and deployed user-facing ML models in production
  • You have a strong background experiencein data science, statistical modelling, machine learning, and data analysis
  • You're proficientin programming languages such as Python
  • You have experience with data manipulation and analysis tools such as SQL, Pandas, and NumPy
  • You have a strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • BONUS: You're familiarwith cloud platforms (e.g., Vertex, SageMaker)

What You’ll Do:

  • Develop, test, and implement advanced statistical models, machine learning algorithms, and predictive analytics to solve business problems
  • Work closely with Product Managers, Engineers, and other stakeholders to understand business needs and translate them into problems that need solving
  • Lead and mentor Data Scientists and Data Analysts, providing technical guidance, support, and mentorship
  • Design and implement scalable solutions for deploying models in production environments
  • Stay up-to-date with the latest data science techniques and technologies, and apply them to improve existing processes and solutions

Recruitment Process

Here’s what to expect from the recruitment process:

  • Selected candidates will be contacted for an initial 30-minute interview
  • Team Interview (45 min)
  • Take Home Assessment
  • Hiring Manager Interview (45 min)
  • Decision Stage

Perks and Benefits:

  • Fully remote work & flexible work hours
  • Half day Fridays (35-hour work week)
  • Comprehensive health and wellness benefits from day one
  • Competitive vacation and company-wide holiday between Dec 25 - Jan 1
  • Learning & development support
  • Quarterly socials & company outings

Working at Tali:

Our core values:

  • Growth: we have a growth mindset; we want to learn and improve a little (or a lot!) every day
  • Purpose: we care about our team and our community; we understand the purpose of our work and take it seriously
  • Innovation: we're all about innovation and cutting edge technology; we don't shy away from a challenge

We thank all applicants for their interest; only those candidates selected for an interview will be contacted. Tali is committed to providing a barrier-free recruitment process for all candidates. Should you require accommodations at any point throughout the hiring process, please contact the Human Resources team at people@tali.ai.

Powered by JazzHR

n0s5BfrfcD +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-18,[] +4046201055,https://ca.linkedin.com/jobs/view/data-scientist-algorithms-rider-pricing-at-lyft-4046201055?position=45&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=WXxLc5WqHbM6lpNUHkf2vw%3D%3D,"Data Scientist, Algorithms - Rider Pricing",Lyft,"Toronto, Ontario, Canada","At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization. + +Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world’s best transportation. We take on a variety of problems ranging from shaping long-term business strategy with data, making short-term critical decisions, and building algorithms/models that power our internal and external products. + +As a Data Scientist, you will be developing analyses, metrics, dashboards, and mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment. + +We are looking for a Data Scientist to join the Rider Pricing team. The Pricing team owns the models and software systems that determine the prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. Additionally, the team owns the development and maintenance of real-time and planned rider incentives with a goal of driving efficient ride growth. The team uses a wide range of causal inference, optimization and reinforcement learning methodologies to achieve these goals. + +You will report to a Data Science Manager. + +Responsibilities: + + +Leverage data and analytic frameworks to identify opportunities for growth and efficiency +Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action +Design and analyze online experiments; communicate results and act on launch decisions +Develop analytical frameworks to monitor business and product performance +Establish metrics that measure the health of our products, as well as rider and driver experience +Provide coaching and technical guidance for the team +Prioritize and lead deep dives into our data to uncover new product and business opportunities +Facilitate and foster data-driven and informed decision making and prioritization + + +Experience: + + +Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience. +Passion for solving unstructured and non-standard, ambiguous mathematical problems by leveraging expertise in one or multiple fields. +Strong skills in optimization, statistics, and causal inference. +End-to-end experience with data, including querying, aggregation, analysis, and visualization. +Proficiency with Python, or another interpreted programming language like R or Matlab +Strong communicator. Able to coordinate with several teams of data scientists to deliver on complex initiatives. +Strong business sense and understanding of experimentation methodologies. +Proficiency in SQL - able to write structured and efficient queries on large data sets. +Experience in online experimentation and statistical analysis. +Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners. + + +Benefits: + + +Extended health and dental coverage options, along with life insurance and disability benefits +Mental health benefits +Family building benefits +Access to a Health Care Savings Account +In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service +4 Floating Holidays each calendar year prorated based off of date of hire +10 paid sick days per year regardless of province +18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible + + +Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request. + +This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +Show more ","
+ + + + + +
+
+ At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world’s best transportation. We take on a variety of problems ranging from shaping long-term business strategy with data, making short-term critical decisions, and building algorithms/models that power our internal and external products.

As a Data Scientist, you will be developing analyses, metrics, dashboards, and mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.

We are looking for a Data Scientist to join the Rider Pricing team. The Pricing team owns the models and software systems that determine the prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. Additionally, the team owns the development and maintenance of real-time and planned rider incentives with a goal of driving efficient ride growth. The team uses a wide range of causal inference, optimization and reinforcement learning methodologies to achieve these goals.

You will report to a Data Science Manager.

Responsibilities:

  • Leverage data and analytic frameworks to identify opportunities for growth and efficiency
  • Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
  • Design and analyze online experiments; communicate results and act on launch decisions
  • Develop analytical frameworks to monitor business and product performance
  • Establish metrics that measure the health of our products, as well as rider and driver experience
  • Provide coaching and technical guidance for the team
  • Prioritize and lead deep dives into our data to uncover new product and business opportunities
  • Facilitate and foster data-driven and informed decision making and prioritization

Experience:

  • Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience.
  • Passion for solving unstructured and non-standard, ambiguous mathematical problems by leveraging expertise in one or multiple fields.
  • Strong skills in optimization, statistics, and causal inference.
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization.
  • Proficiency with Python, or another interpreted programming language like R or Matlab
  • Strong communicator. Able to coordinate with several teams of data scientists to deliver on complex initiatives.
  • Strong business sense and understanding of experimentation methodologies.
  • Proficiency in SQL - able to write structured and efficient queries on large data sets.
  • Experience in online experimentation and statistical analysis.
  • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners.

Benefits:

  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Access to a Health Care Savings Account
  • In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
  • 4 Floating Holidays each calendar year prorated based off of date of hire
  • 10 paid sick days per year regardless of province
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-11,[] +4102654222,https://ca.linkedin.com/jobs/view/data-scientist-ai-insights-temporary-at-telus-4102654222?position=46&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=%2BL6gZBPU318D0d9dY3A5XA%3D%3D,Data Scientist - AI Insights (Temporary),TELUS,"Toronto, Ontario, Canada","Description + +About the Role: + +TELUS AI Insights is seeking an Intermediate Data Scientist with a strong background in Natural Language Processing (NLP) to join our world-class team. This role offers a unique opportunity to work at the forefront of NLP and Generative AI (GenAI) innovation, leveraging cutting-edge tools to deliver impactful solutions. As part of the TELUS family, you will collaborate with cross-functional teams, contribute to solving complex challenges, and drive measurable impact in customer interaction analytics. + +*This is a 10 month contract* + +What You’ll Do: + + + +Develop, deploy, and optimize NLP models and solutions to analyze and extract insights from large-scale text datasets +Work extensively with Python and libraries such as TensorFlow, PyTorch, and HuggingFace +Leverage Google Cloud Platform (GCP) tools, particularly Vertex AI, to build and manage scalable ML workflows +Explore, fine-tune, and deploy Large Language Models (LLMs) for advanced generative AI use cases +Analyze and enhance data pipelines for customer interaction data, including call center analytics, to deliver actionable insights +Collaborate closely with stakeholders to understand business challenges and design data-driven solutions +Present findings and actionable recommendations through clear and concise communication to both technical and non-technical stakeholders + + + +Qualifications + +What You Bring: + +Must-Have Skills and Experience: + + + +Educational Background: Master's or PhD in Data Science, Computer Science, Statistics, Engineering, or a related field +Programming Expertise: Proficiency in Python +NLP Experience: Hands-on experience developing NLP models, including preprocessing, text classification, sentiment analysis, and vectorization/embedding techniques +Generative AI Experience: Familiarity with LLM fine-tuning and prompt engineering +Stakeholder Engagement: Strong interpersonal and communication skills to manage relationships with diverse stakeholders effectively +Project Collaboration: Demonstrated ability to work in multidisciplinary teams in a dynamic, fast-paced environment + + + +Highly Desirable: + + + +Cloud Expertise: Experience with Google Cloud Platform (GCP), especially Vertex AI for Machine Learning workflows +Call Center Analytics: Knowledge of call center operations, including customer interaction trends and challenges +Applied NLP: Experience in deploying NLP models to production environments for real-world use cases + + + +Why Join Us? + + + +Work on cutting-edge projects in NLP and Generative AI with a talented and collaborative team +Flexible workstyle, with the option for 100% remote work across Canada +Access to TELUS’s industry-leading infrastructure and resources to solve challenging, impactful problems +Opportunities for professional growth and development in a supportive and innovative environment + + + +Why TELUS? + +Be part of a forward-looking company that values innovation, collaboration, and growth. At TELUS, you’ll have the opportunity to explore exciting career paths, work in an inclusive environment, and make a genuine impact on our business and customers. + +Salary Range: $86,000-$130,000 + +Performance Bonus or Sales Incentive Plan: 12% + +Actual total compensation will be determined based on factors such as knowledge, skills, performance and experience. In addition, TELUS offers rewarding benefits, which may vary per job function, such as: + + + +Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family +Flexibility to work in-office, virtually or a combination of both, based on the role's requirements +Generous company matched pension and share purchase programs +Opportunity to give back to communities in which we work, live and serve +Career growth and learning & development opportunities to develop your skills +And much more … + + + +Ready to Apply? + +Join TELUS AI Insights and contribute to shaping the future of customer interaction analytics. Apply today to be part of a team that’s transforming insights into action with cutting-edge AI. TELUS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees +Show more ","
+ + + + + +
+
+ Description

About the Role:

TELUS AI Insights is seeking an Intermediate Data Scientist with a strong background in Natural Language Processing (NLP) to join our world-class team. This role offers a unique opportunity to work at the forefront of NLP and Generative AI (GenAI) innovation, leveraging cutting-edge tools to deliver impactful solutions. As part of the TELUS family, you will collaborate with cross-functional teams, contribute to solving complex challenges, and drive measurable impact in customer interaction analytics.

*This is a 10 month contract*

What You’ll Do:


  • Develop, deploy, and optimize NLP models and solutions to analyze and extract insights from large-scale text datasets
  • Work extensively with Python and libraries such as TensorFlow, PyTorch, and HuggingFace
  • Leverage Google Cloud Platform (GCP) tools, particularly Vertex AI, to build and manage scalable ML workflows
  • Explore, fine-tune, and deploy Large Language Models (LLMs) for advanced generative AI use cases
  • Analyze and enhance data pipelines for customer interaction data, including call center analytics, to deliver actionable insights
  • Collaborate closely with stakeholders to understand business challenges and design data-driven solutions
  • Present findings and actionable recommendations through clear and concise communication to both technical and non-technical stakeholders


Qualifications

What You Bring:

Must-Have Skills and Experience:


  • Educational Background: Master's or PhD in Data Science, Computer Science, Statistics, Engineering, or a related field
  • Programming Expertise: Proficiency in Python
  • NLP Experience: Hands-on experience developing NLP models, including preprocessing, text classification, sentiment analysis, and vectorization/embedding techniques
  • Generative AI Experience: Familiarity with LLM fine-tuning and prompt engineering
  • Stakeholder Engagement: Strong interpersonal and communication skills to manage relationships with diverse stakeholders effectively
  • Project Collaboration: Demonstrated ability to work in multidisciplinary teams in a dynamic, fast-paced environment


Highly Desirable:


  • Cloud Expertise: Experience with Google Cloud Platform (GCP), especially Vertex AI for Machine Learning workflows
  • Call Center Analytics: Knowledge of call center operations, including customer interaction trends and challenges
  • Applied NLP: Experience in deploying NLP models to production environments for real-world use cases


Why Join Us?


  • Work on cutting-edge projects in NLP and Generative AI with a talented and collaborative team
  • Flexible workstyle, with the option for 100% remote work across Canada
  • Access to TELUS’s industry-leading infrastructure and resources to solve challenging, impactful problems
  • Opportunities for professional growth and development in a supportive and innovative environment


Why TELUS?

Be part of a forward-looking company that values innovation, collaboration, and growth. At TELUS, you’ll have the opportunity to explore exciting career paths, work in an inclusive environment, and make a genuine impact on our business and customers.

Salary Range: $86,000-$130,000

Performance Bonus or Sales Incentive Plan: 12%

Actual total compensation will be determined based on factors such as knowledge, skills, performance and experience. In addition, TELUS offers rewarding benefits, which may vary per job function, such as:


  • Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
  • Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
  • Generous company matched pension and share purchase programs
  • Opportunity to give back to communities in which we work, live and serve
  • Career growth and learning & development opportunities to develop your skills
  • And much more …


Ready to Apply?

Join TELUS AI Insights and contribute to shaping the future of customer interaction analytics. Apply today to be part of a team that’s transforming insights into action with cutting-edge AI. TELUS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-18,[] +4112266838,https://ca.linkedin.com/jobs/view/ai-ml-engineer-at-micro1-4112266838?position=55&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=TtszV1UX5gqnxJyWwxD9qw%3D%3D,AI/ML Engineer,micro1,Canada,"About Us: + +At micro1, we’re all about connecting skilled remote professionals with some of the best companies in Silicon Valley. Our mission is to offer a stable, competitive income, along with access to top industry opportunities—all in a flexible work setting with a range of great benefits. We’re here to help you grow in your career. We're proud to work with trusted partners such as Deel, Immutable, O’Gara, and LegalSoft. + + + + + +What We Offer + +:Work from anywher +eHealthcare reimbursemen +tWi-Fi Reimbursemen +tUnlimited Learning: Access to Udemy courses, books, and everything you need to keep growin +gAnd So Much More: We’re not just about work—we’re about creating an environment where you’ll love to be + + + + +! +Role Overvie + +w:We are seeking a skilled AI/ML Engineer to join our innovative team. In this role, you will design, develop, and deploy machine learning models and systems that drive our products and enhance user experiences. You will work closely with cross-functional teams to implement cutting-edge AI solutions, including recommendation engines and large language model + + + + +s. +Key Responsibiliti + +es:Design and implement robust machine learning models and algorithms, focusing on recommendation syste +ms.Conduct data analysis to identify trends, insights, and opportunities for model improveme +nt.Collaborate with data scientists and software engineers to build and integrate end-to-end machine learning syste +ms.Optimize and fine-tune models for performance and scalability, ensuring seamless deployme +nt.Work with large datasets using SQL and Postgres to support model training and evaluati +on.Implement and refine prompt engineering techniques for large language models (LLM +s).Stay current with advancements in AI/ML technologies, particularly in core ML algorithms like clustering and community detecti +on.Monitor model performance, conduct regular evaluations, and retrain models as need +ed.Document processes, model performance metrics, and technical specificatio + + + + +ns. +Required Skills and Qualificati + +ons:Bachelors or Master’s degree in Computer Science, Data Science, or a related fi +eld.Strong expertise in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-lea +rn).Proven experience with SQL and Postgres for data manipulation and analy +sis.Demonstrated experience building and deploying recommendation engi +nes.Solid understanding of core machine learning algorithms, including clustering and community detect +ion.Prior experience in building end-to-end machine learning syst +ems.Familiarity with prompt engineering and working with large language models (LL +Ms).Proficiency with version control systems like +Git.Experience with cloud platforms (e.g., AWS) for model deployment and data stor +age.Strong analytical and problem-solving ski +lls.Excellent communication and collaboration abilit + + + + +ies. +Preferred Qualificat + +ions:Experience with Graph DB (specifically Neo4J and cypher query lang +uage)Knowledge of large-scale data handling and optimization techni +ques.Experience with Improving models with + + + + +RLHF +Show more ","
+ + + + + +
+
+

About Us:

At micro1, we’re all about connecting skilled remote professionals with some of the best companies in Silicon Valley. Our mission is to offer a stable, competitive income, along with access to top industry opportunities—all in a flexible work setting with a range of great benefits. We’re here to help you grow in your career. We're proud to work with trusted partners such as Deel, Immutable, O’Gara, and LegalSoft.



What We Offer

  • :Work from anywher
  • eHealthcare reimbursemen
  • tWi-Fi Reimbursemen
  • tUnlimited Learning: Access to Udemy courses, books, and everything you need to keep growin
  • gAnd So Much More: We’re not just about work—we’re about creating an environment where you’ll love to be


!
Role Overvie

w:We are seeking a skilled AI/ML Engineer to join our innovative team. In this role, you will design, develop, and deploy machine learning models and systems that drive our products and enhance user experiences. You will work closely with cross-functional teams to implement cutting-edge AI solutions, including recommendation engines and large language model


s.
Key Responsibiliti

  • es:Design and implement robust machine learning models and algorithms, focusing on recommendation syste
  • ms.Conduct data analysis to identify trends, insights, and opportunities for model improveme
  • nt.Collaborate with data scientists and software engineers to build and integrate end-to-end machine learning syste
  • ms.Optimize and fine-tune models for performance and scalability, ensuring seamless deployme
  • nt.Work with large datasets using SQL and Postgres to support model training and evaluati
  • on.Implement and refine prompt engineering techniques for large language models (LLM
  • s).Stay current with advancements in AI/ML technologies, particularly in core ML algorithms like clustering and community detecti
  • on.Monitor model performance, conduct regular evaluations, and retrain models as need
  • ed.Document processes, model performance metrics, and technical specificatio


ns.
Required Skills and Qualificati

  • ons:Bachelors or Master’s degree in Computer Science, Data Science, or a related fi
  • eld.Strong expertise in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-lea
  • rn).Proven experience with SQL and Postgres for data manipulation and analy
  • sis.Demonstrated experience building and deploying recommendation engi
  • nes.Solid understanding of core machine learning algorithms, including clustering and community detect
  • ion.Prior experience in building end-to-end machine learning syst
  • ems.Familiarity with prompt engineering and working with large language models (LL
  • Ms).Proficiency with version control systems like
  • Git.Experience with cloud platforms (e.g., AWS) for model deployment and data stor
  • age.Strong analytical and problem-solving ski
  • lls.Excellent communication and collaboration abilit


ies.
Preferred Qualificat

  • ions:Experience with Graph DB (specifically Neo4J and cypher query lang
  • uage)Knowledge of large-scale data handling and optimization techni
  • ques.Experience with Improving models with


RLHF +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-29,[] +4102565752,https://ca.linkedin.com/jobs/view/applied-ai-developer-at-klick-4102565752?position=58&pageNum=0&refId=6hGRdTAgtDPpsoAYCxdYnA%3D%3D&trackingId=jZBic4jxVlIKkq1mkUL5xA%3D%3D,Applied AI Developer,Klick,"Toronto, Ontario, Canada","Are you a passionate AI enthusiast and developer looking to make a real-world impact? Do you thrive on end-to-end ownership of projects, leveraging the best AI models and AI coding assistance tools to build smarter, faster, and more intuitive systems? If so, you might be the perfect fit for the Genome Team at Klick. + +Genome is Klick's self-built, enterprise ecosystem, comprising AI-enriched tools designed to empower Klicksters with contextualized data and insights. By sharpening intuition and enabling more impactful decisions, Genome drives business growth and innovation. + +We’re looking for a clever, strategic, and outcome-oriented Applied AI Developer to join our team. In this role, you’ll be responsible for building upon the Genome ecosystem, developing tools with full-stack ownership, and leveraging the latest advancements in generative AI, large language models (LLMs), and prompt engineering. If you're driven by curiosity, technical excellence, and the opportunity to shape the future of AI-powered systems, this role is for you. + +Job Requirements + + +Build AI-Enriched SolutionsOwn the development of AI-enhanced features and tools within Genome, working from backend to frontend, with full-stack development responsibilityBuild, extend, and refine modular, reusable components, ensuring they fit seamlessly into Genome’s existing architectureApply AI-assisted development techniques and tools to rapidly develop prototypes and scalable solutions +Code & Prompt EngineeringUse Python to integrate various AI services and APIs (like OpenAI, Azure AI, Amazon Bedrock, and Google Vertex) to create cohesive, intelligent systemsCraft and optimize AI prompts for LLMs (like GPT, LLaMa, Claude) to ensure accurate, contextual, and useful outputs. +Feasibility AssessmentCollaborate with stakeholders to understand project goals and assess feasibilityDeconstruct business requirements into action plans, prioritizing deliverables that drive the greatest impact. +Collaboration & CommunicationWork with other team members in a collaborative mannerCommunicate effectively within the team and to stakeholders + + + +Skills Needed + + +Strategic & Outcome-Oriented Thinking +Outcome-oriented problem solver who sees the bigger picture and understands how specific features contribute to business goals +Ability to translate business needs into actionable technical requirements +Sensitivity to user experience, ensuring tools are intuitive and effective for end users +Analytical & Problem-Solving Skills +Able to break down complex challenges into simpler, solvable elementsAwareness of ""AI drift"" — knowing when AI models or prompts are producing suboptimal results and taking corrective action +Fast mover who prioritizes the first practical step towards a solution while maintaining a focus on continuous improvement +Creative and efficient approach to coding, with a passion for finding shortcuts and automation opportunities +Curiosity & Adaptability +Lifelong learner with a passion for generative AI, always seeking to push the limits of what's possible +Comfortable starting from scratch where appropriate, with no strong emotional attachment to code +Adaptable to changing project requirements and priorities. +Technical Skills & Tools Utilization +Full-stack development skills, from database management to backend and frontend development +Ability to navigate and leverage various systems, tools, and frameworks — with no ""one-size-fits-all"" mentality +Comfortable with developer tools and technologies like Git and Cursor +Experience with APIs, including OpenAI, Azure AI, Amazon Bedrock, and Google VertexHands-on experience with Python, particularly for AI integration and prompt engineering +Personal Attributes & Work Ethic +Committed to excellence and detail-oriented execution +Determined problem-solver with a ""get it done"" attitude +Willing to ask for help and collaborate to drive the best possible outcomes + + + +Other Qualifications + + +Generative AI Expertise: In-depth knowledge of generative AI principles and experience with LLMs such as GPT, LLaMa, and Claude +AI Systems Development: Demonstrated experience developing real-world generative AI applications +Full-Stack Development Experience: Strong understanding of databases, backend systems, and frontend interfaces, especially in AI-driven environments +Prompt Engineering Knowledge: Experience crafting, refining, and optimizing prompts for LLMs to achieve optimal responses +Excellent Communication Skills: Able to clearly explain technical concepts to non-technical stakeholders +Data Design Knowledge: Familiarity with data design principles for better tool and feature integration + + + +At Klick, you’ll join a forward-thinking team that’s shaping the future of AI in enterprise ecosystems. As part of the Genome team, you’ll develop impactful AI-driven solutions that enable better decision-making, faster development, and smarter insights. This is your chance to work on cutting-edge initiatives, collaborate with like-minded innovators, and own projects from concept to completion.If you’re ready to turn your passion for AI into powerful, user-centric solutions, we’d love to hear from you. Apply today and help us revolutionize how Klicksters work, think, and thrive. + + +Show more ","
+ + + + + +
+
+ Are you a passionate AI enthusiast and developer looking to make a real-world impact? Do you thrive on end-to-end ownership of projects, leveraging the best AI models and AI coding assistance tools to build smarter, faster, and more intuitive systems? If so, you might be the perfect fit for the Genome Team at Klick.

Genome is Klick's self-built, enterprise ecosystem, comprising AI-enriched tools designed to empower Klicksters with contextualized data and insights. By sharpening intuition and enabling more impactful decisions, Genome drives business growth and innovation.

We’re looking for a clever, strategic, and outcome-oriented Applied AI Developer to join our team. In this role, you’ll be responsible for building upon the Genome ecosystem, developing tools with full-stack ownership, and leveraging the latest advancements in generative AI, large language models (LLMs), and prompt engineering. If you're driven by curiosity, technical excellence, and the opportunity to shape the future of AI-powered systems, this role is for you.

Job Requirements

  • Build AI-Enriched SolutionsOwn the development of AI-enhanced features and tools within Genome, working from backend to frontend, with full-stack development responsibilityBuild, extend, and refine modular, reusable components, ensuring they fit seamlessly into Genome’s existing architectureApply AI-assisted development techniques and tools to rapidly develop prototypes and scalable solutions
  • Code & Prompt EngineeringUse Python to integrate various AI services and APIs (like OpenAI, Azure AI, Amazon Bedrock, and Google Vertex) to create cohesive, intelligent systemsCraft and optimize AI prompts for LLMs (like GPT, LLaMa, Claude) to ensure accurate, contextual, and useful outputs.
  • Feasibility AssessmentCollaborate with stakeholders to understand project goals and assess feasibilityDeconstruct business requirements into action plans, prioritizing deliverables that drive the greatest impact.
  • Collaboration & CommunicationWork with other team members in a collaborative mannerCommunicate effectively within the team and to stakeholders


Skills Needed

  • Strategic & Outcome-Oriented Thinking
  • Outcome-oriented problem solver who sees the bigger picture and understands how specific features contribute to business goals
  • Ability to translate business needs into actionable technical requirements
  • Sensitivity to user experience, ensuring tools are intuitive and effective for end users
  • Analytical & Problem-Solving Skills
  • Able to break down complex challenges into simpler, solvable elementsAwareness of ""AI drift"" — knowing when AI models or prompts are producing suboptimal results and taking corrective action
  • Fast mover who prioritizes the first practical step towards a solution while maintaining a focus on continuous improvement
  • Creative and efficient approach to coding, with a passion for finding shortcuts and automation opportunities
  • Curiosity & Adaptability
  • Lifelong learner with a passion for generative AI, always seeking to push the limits of what's possible
  • Comfortable starting from scratch where appropriate, with no strong emotional attachment to code
  • Adaptable to changing project requirements and priorities.
  • Technical Skills & Tools Utilization
  • Full-stack development skills, from database management to backend and frontend development
  • Ability to navigate and leverage various systems, tools, and frameworks — with no ""one-size-fits-all"" mentality
  • Comfortable with developer tools and technologies like Git and Cursor
  • Experience with APIs, including OpenAI, Azure AI, Amazon Bedrock, and Google VertexHands-on experience with Python, particularly for AI integration and prompt engineering
  • Personal Attributes & Work Ethic
  • Committed to excellence and detail-oriented execution
  • Determined problem-solver with a ""get it done"" attitude
  • Willing to ask for help and collaborate to drive the best possible outcomes


Other Qualifications

  • Generative AI Expertise: In-depth knowledge of generative AI principles and experience with LLMs such as GPT, LLaMa, and Claude
  • AI Systems Development: Demonstrated experience developing real-world generative AI applications
  • Full-Stack Development Experience: Strong understanding of databases, backend systems, and frontend interfaces, especially in AI-driven environments
  • Prompt Engineering Knowledge: Experience crafting, refining, and optimizing prompts for LLMs to achieve optimal responses
  • Excellent Communication Skills: Able to clearly explain technical concepts to non-technical stakeholders
  • Data Design Knowledge: Familiarity with data design principles for better tool and feature integration


At Klick, you’ll join a forward-thinking team that’s shaping the future of AI in enterprise ecosystems. As part of the Genome team, you’ll develop impactful AI-driven solutions that enable better decision-making, faster development, and smarter insights. This is your chance to work on cutting-edge initiatives, collaborate with like-minded innovators, and own projects from concept to completion.If you’re ready to turn your passion for AI into powerful, user-centric solutions, we’d love to hear from you. Apply today and help us revolutionize how Klicksters work, think, and thrive.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-17,[] +4102474193,https://ca.linkedin.com/jobs/view/data-scientist-analytics-at-robinhood-4102474193?position=5&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=un6knko0oncU56ObJa9g2g%3D%3D,Data Scientist - Analytics,Robinhood,"Toronto, Ontario, Canada","Join a leading fintech company that’s democratizing finance for all. + +Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. + +With growth as the top priority... + +The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply. + +About the team + role + +Insights from data power most decisions at Robinhood. Our company trajectory is shaped by the systems, tools, and analytics driven by our exceptional data science teams. + +This Data Scientist - Analytics role will collaborate with partners in workforce planning, employee relations, talent acquisition, people leadership, and compliance to analyze data from various systems and sources. The goal is to provide actionable recommendations across the entire employee lifecycle, from recruitment to employee experience and retention. + +The role is located in the office location listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations. + +What You’ll Do + + +Translate business and leadership needs into actionable solutions by creating meaningful data visualizations, key insights, and metrics. +Use SQL to integrate data from various sources, building structures that provide a comprehensive view of employee journeys. +Apply quantitative techniques, including modeling, to address complex problems from diverse perspectives. +Enable quick decision-making by answering business questions using our extensive datasets. +Build and maintain scalable business intelligence tools and dashboards for People Analytics, covering the employee lifecycle with data from Greenhouse, Workday, and other sources. Collaborate with Data Engineering and vendors to automate, improve, and scale these solutions. + + +What You Bring + + +4+ years of demonstrated experience in data analytics or data science, serving as the analytics expert within People Analytics or similar domains. +BA/BS/MS/PhD in behavioral science (economics, psychology etc) with strong statistical chops or a background in a quantitative field such as mathematics, statistics, engineering, or natural sciences (or equivalent experience) with a strong curiosity about human behavior. +Excellent programming skills, including expert level familiarity with either Python (numpy, scipy, pandas) or R programming languages +Expert level SQL skills +Solid understanding of statistical analysis +Experience communicating data driven insights +The ability to use data to inform, persuade, and lead + + +Bonus Points + + +People Analytics experience (working with organizational people data such as recruiting, headcount, attrition, and sentiment to solve business needs) +Working knowledge of Greenhouse, Workday, and One Model +Passion for working and learning in a fast-growing company +Intense sense of curiosity +Satisfaction from mentoring and encouraging others in your field + + +Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation. + +We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024. + +Please see the independent bias audit report covering our use of Covey here. + +Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. + +Toronto, ON + +$85,000—$100,000 CAD + +Click here to learn more about available Benefits, which vary by region and Robinhood entity. + +We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes. + +Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying. +Show more ","
+ + + + + +
+
+ Join a leading fintech company that’s democratizing finance for all.

Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

With growth as the top priority...

The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.

About the team + role

Insights from data power most decisions at Robinhood. Our company trajectory is shaped by the systems, tools, and analytics driven by our exceptional data science teams.

This Data Scientist - Analytics role will collaborate with partners in workforce planning, employee relations, talent acquisition, people leadership, and compliance to analyze data from various systems and sources. The goal is to provide actionable recommendations across the entire employee lifecycle, from recruitment to employee experience and retention.

The role is located in the office location listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What You’ll Do

  • Translate business and leadership needs into actionable solutions by creating meaningful data visualizations, key insights, and metrics.
  • Use SQL to integrate data from various sources, building structures that provide a comprehensive view of employee journeys.
  • Apply quantitative techniques, including modeling, to address complex problems from diverse perspectives.
  • Enable quick decision-making by answering business questions using our extensive datasets.
  • Build and maintain scalable business intelligence tools and dashboards for People Analytics, covering the employee lifecycle with data from Greenhouse, Workday, and other sources. Collaborate with Data Engineering and vendors to automate, improve, and scale these solutions.

What You Bring

  • 4+ years of demonstrated experience in data analytics or data science, serving as the analytics expert within People Analytics or similar domains.
  • BA/BS/MS/PhD in behavioral science (economics, psychology etc) with strong statistical chops or a background in a quantitative field such as mathematics, statistics, engineering, or natural sciences (or equivalent experience) with a strong curiosity about human behavior.
  • Excellent programming skills, including expert level familiarity with either Python (numpy, scipy, pandas) or R programming languages
  • Expert level SQL skills
  • Solid understanding of statistical analysis
  • Experience communicating data driven insights
  • The ability to use data to inform, persuade, and lead

Bonus Points

  • People Analytics experience (working with organizational people data such as recruiting, headcount, attrition, and sentiment to solve business needs)
  • Working knowledge of Greenhouse, Workday, and One Model
  • Passion for working and learning in a fast-growing company
  • Intense sense of curiosity
  • Satisfaction from mentoring and encouraging others in your field

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.

Please see the independent bias audit report covering our use of Covey here.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan.

Toronto, ON

$85,000—$100,000 CAD

Click here to learn more about available Benefits, which vary by region and Robinhood entity.

We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-16,[] +4097644135,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-banting-ai-4097644135?position=10&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=qZEFaQ9e8og6IfgXGW%2FYXA%3D%3D,Machine Learning Engineer,Banting AI,"Toronto, Ontario, Canada","About Banting AI + + + + +Banting AI is harnessing the power of advanced AI to reshape the future of healthcare. By unlocking the potential of healthcare data, we aim to accelerate the path to life-saving treatments. Our mission is ambitious: to build technology that empowers clinical research and drives personalized, predictive medicine. As we refine our platform and expand our capabilities, we’re looking for talented individuals who share our vision and are eager to make a lasting impact on health and science. + + + + +Role Overview + + + + +As a Machine Learning Engineer at Banting AI, you will play a key role in developing our multimodal foundation models, which integrate diverse healthcare data sources such as imaging, electronic health records (EHR), and genomics. Your work will be at the forefront of scientific innovation, helping to unlock complex insights within clinical data and improve patient outcomes. You’ll build robust, scalable models that empower clinicians and researchers, drive clinical insights, and support the company’s mission of transforming healthcare. + + + + +Key Responsibilities + + + + +Design and develop machine learning models that integrate and harmonize multiple data types (e.g., imaging, EHR, genomic data) into powerful multimodal foundation models. +Collaborate with data engineering and scientific teams to establish data workflows that ensure data quality, accuracy, and compliance, supporting robust model training and testing. +Engage in rigorous feature engineering and model tuning to enhance model accuracy and reliability across various healthcare applications. +Perform model validation and continuous optimization, ensuring model outputs are scientifically sound, clinically meaningful, and applicable in real-world healthcare settings. +Work cross-functionally to align model development with clinical objectives and regulatory standards. +Contribute to advancing Banting AI’s expertise in multimodal AI by keeping up-to-date with the latest research and emerging technologies in healthcare AI. +Implement responsible AI practices, including bias detection, fairness evaluation, and safety checks, to ensure that models align with ethical and regulatory standards in healthcare. + + + + +Requirements + + + + +Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field with a strong foundation in applied machine learning. +3+ years of experience in machine learning engineering, with demonstrated expertise in multimodal data or healthcare applications. +Proficiency in Python and experience with key machine learning libraries and frameworks, such as TensorFlow, PyTorch, or Scikit-Learn. +Strong understanding of multimodal data fusion, feature engineering, and model architecture for scalable applications in clinical and research settings. +Experience working with healthcare or biomedical data (e.g., EHRs, imaging, genomics) and familiarity with healthcare data privacy and compliance standards (HIPAA, GDPR). +Excellent problem-solving skills, scientific rigor, and a collaborative approach to working within a cross-functional team. + + + + +At Banting AI, we are committed to fostering an inclusive and diverse environment. We believe that diversity in thought, background, and experience strengthens our team and contributes to innovative solutions in healthcare. We welcome candidates from all backgrounds to apply. + +Show more ","
+ + + + + +
+
+ About Banting AI


Banting AI is harnessing the power of advanced AI to reshape the future of healthcare. By unlocking the potential of healthcare data, we aim to accelerate the path to life-saving treatments. Our mission is ambitious: to build technology that empowers clinical research and drives personalized, predictive medicine. As we refine our platform and expand our capabilities, we’re looking for talented individuals who share our vision and are eager to make a lasting impact on health and science.


Role Overview


As a Machine Learning Engineer at Banting AI, you will play a key role in developing our multimodal foundation models, which integrate diverse healthcare data sources such as imaging, electronic health records (EHR), and genomics. Your work will be at the forefront of scientific innovation, helping to unlock complex insights within clinical data and improve patient outcomes. You’ll build robust, scalable models that empower clinicians and researchers, drive clinical insights, and support the company’s mission of transforming healthcare.


Key Responsibilities


  • Design and develop machine learning models that integrate and harmonize multiple data types (e.g., imaging, EHR, genomic data) into powerful multimodal foundation models.
  • Collaborate with data engineering and scientific teams to establish data workflows that ensure data quality, accuracy, and compliance, supporting robust model training and testing.
  • Engage in rigorous feature engineering and model tuning to enhance model accuracy and reliability across various healthcare applications.
  • Perform model validation and continuous optimization, ensuring model outputs are scientifically sound, clinically meaningful, and applicable in real-world healthcare settings.
  • Work cross-functionally to align model development with clinical objectives and regulatory standards.
  • Contribute to advancing Banting AI’s expertise in multimodal AI by keeping up-to-date with the latest research and emerging technologies in healthcare AI.
  • Implement responsible AI practices, including bias detection, fairness evaluation, and safety checks, to ensure that models align with ethical and regulatory standards in healthcare.


Requirements


  • Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field with a strong foundation in applied machine learning.
  • 3+ years of experience in machine learning engineering, with demonstrated expertise in multimodal data or healthcare applications.
  • Proficiency in Python and experience with key machine learning libraries and frameworks, such as TensorFlow, PyTorch, or Scikit-Learn.
  • Strong understanding of multimodal data fusion, feature engineering, and model architecture for scalable applications in clinical and research settings.
  • Experience working with healthcare or biomedical data (e.g., EHRs, imaging, genomics) and familiarity with healthcare data privacy and compliance standards (HIPAA, GDPR).
  • Excellent problem-solving skills, scientific rigor, and a collaborative approach to working within a cross-functional team.


At Banting AI, we are committed to fostering an inclusive and diverse environment. We believe that diversity in thought, background, and experience strengthens our team and contributes to innovative solutions in healthcare. We welcome candidates from all backgrounds to apply.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-13,[] +4042320678,https://ca.linkedin.com/jobs/view/senior-data-scientist-at-flinks-4042320678?position=16&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=Ktcw6QScNUxB7Ftj4hPevg%3D%3D,Senior Data Scientist,Flinks,"Toronto, Ontario, Canada","About Flinks 🚀 + +At Flinks, we're not just building data infrastructure; we're shaping the future of finance. Our mission is to empower consumers with control over their financial data and unlock its full potential. We equip fintechs and banks with cutting-edge data tools, enabling them to create innovative, client-centric products that are transforming the financial industry. + +Flinks is trusted by hundreds of companies and connects over 250 million financial accounts. Our products power digital finance, helping businesses streamline their processes, improve user experiences, and drive the next wave of financial innovation. We are the engine behind the future of digital finance, committed to creating open, consent-based exchanges of financial data. + + +About the Team + +As a Senior Data Scientist, you'll be working within a high-impact, collaborative team that leverages machine learning to unlock insights from vast financial datasets. You will play a critical role in leading projects that shape the future of finance by helping our clients make smarter decisions and deliver more effective services. Our work doesn't stop at building models; we're revolutionizing the financial ecosystem itself. + + +What You'll Do + +Own the Model Lifecycle{{:}} Design, build, deploy, and continuously improve sophisticated machine learning models, minimizing drift and maximizing accuracy across use cases +Become a Data Detective{{:}} Proactively dive deep into massive datasets, identify data quality issues, and resolve them to ensure models perform optimally +Innovate with the Cloud{{:}} Leverage cloud platforms to build, train, and scale advanced models, utilizing our ML Platform to develop cutting-edge solutions +Shape our Technical Strategy{{:}} Propose and implement forward-thinking technical solutions, pushing the boundaries of what's possible in financial data science +Collaborate and Mentor{{:}} Work closely with talented engineering and product teams to integrate your models into production, while mentoring team members to share knowledge and foster growth +Contribute to R&D{{:}}  Be a key contributor to groundbreaking research and development, exploring the latest advancements in machine learning and applying them to financial data products. + + +Who You Are + +You have a deep understanding of data science and can leverage that knowledge to propose innovative ideas, enhance existing solutions, and shape the future of finance in Canada and globally +5+ years of experience as an established and confident Data Scientist +Not afraid to experiment and explore new techniques and solutions +A strong proficiency in Python for data science +Hands-on experience with advanced NLP models (e.g., Transformers, BERT) +Familiarity with cloud platforms and their application to scalable data science solutions +Strong communication skills, with the ability to influence and drive change. + + +What's in it for you? + +Clear Impact{{:}} Your work will directly influence the development of innovative financial products, helping businesses and consumers alike harness the power of financial data +Empowered Autonomy{{:}} As a Senior Data Scientist, you'll have the freedom and support to shape technical strategies, drive innovation, and lead critical projects that push the boundaries of data science +Trailblazing at the Right Time{{:}} You'll be joining Flinks at a pivotal moment, where open banking and financial data innovation are accelerating, giving you the chance to make an impact in a rapidly evolving industry +Personal Growth{{:}} Work with brilliant, passionate colleagues on complex technical and business challenges, driving both your personal and professional development to new heights. + + +The Interview Process 🏗 + +People Ops Generalist +Team Lead +Case Assignment +Panel Interview & Case Presentation +Show more ","
+ + + + + +
+
+

About Flinks 🚀

At Flinks, we're not just building data infrastructure; we're shaping the future of finance. Our mission is to empower consumers with control over their financial data and unlock its full potential. We equip fintechs and banks with cutting-edge data tools, enabling them to create innovative, client-centric products that are transforming the financial industry.

Flinks is trusted by hundreds of companies and connects over 250 million financial accounts. Our products power digital finance, helping businesses streamline their processes, improve user experiences, and drive the next wave of financial innovation. We are the engine behind the future of digital finance, committed to creating open, consent-based exchanges of financial data.

About the Team

As a Senior Data Scientist, you'll be working within a high-impact, collaborative team that leverages machine learning to unlock insights from vast financial datasets. You will play a critical role in leading projects that shape the future of finance by helping our clients make smarter decisions and deliver more effective services. Our work doesn't stop at building models; we're revolutionizing the financial ecosystem itself.

What You'll Do

  • Own the Model Lifecycle{{:}} Design, build, deploy, and continuously improve sophisticated machine learning models, minimizing drift and maximizing accuracy across use cases
  • Become a Data Detective{{:}} Proactively dive deep into massive datasets, identify data quality issues, and resolve them to ensure models perform optimally
  • Innovate with the Cloud{{:}} Leverage cloud platforms to build, train, and scale advanced models, utilizing our ML Platform to develop cutting-edge solutions
  • Shape our Technical Strategy{{:}} Propose and implement forward-thinking technical solutions, pushing the boundaries of what's possible in financial data science
  • Collaborate and Mentor{{:}} Work closely with talented engineering and product teams to integrate your models into production, while mentoring team members to share knowledge and foster growth
  • Contribute to R&D{{:}}  Be a key contributor to groundbreaking research and development, exploring the latest advancements in machine learning and applying them to financial data products.

Who You Are

  • You have a deep understanding of data science and can leverage that knowledge to propose innovative ideas, enhance existing solutions, and shape the future of finance in Canada and globally
  • 5+ years of experience as an established and confident Data Scientist
  • Not afraid to experiment and explore new techniques and solutions
  • A strong proficiency in Python for data science
  • Hands-on experience with advanced NLP models (e.g., Transformers, BERT)
  • Familiarity with cloud platforms and their application to scalable data science solutions
  • Strong communication skills, with the ability to influence and drive change.

What's in it for you?

  • Clear Impact{{:}} Your work will directly influence the development of innovative financial products, helping businesses and consumers alike harness the power of financial data
  • Empowered Autonomy{{:}} As a Senior Data Scientist, you'll have the freedom and support to shape technical strategies, drive innovation, and lead critical projects that push the boundaries of data science
  • Trailblazing at the Right Time{{:}} You'll be joining Flinks at a pivotal moment, where open banking and financial data innovation are accelerating, giving you the chance to make an impact in a rapidly evolving industry
  • Personal Growth{{:}} Work with brilliant, passionate colleagues on complex technical and business challenges, driving both your personal and professional development to new heights.

The Interview Process 🏗

  • People Ops Generalist
  • Team Lead
  • Case Assignment
  • Panel Interview & Case Presentation
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-28,[] +4013221296,https://ca.linkedin.com/jobs/view/data-scientist-at-rakuten-rewards-4013221296?position=18&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=6jHJ6r8oD6YCZLTzEQP%2BfQ%3D%3D,Data Scientist,Rakuten Rewards,"Toronto, Ontario, Canada","Job Description: + +SUMMARY: + +Rakuten International oversees 7 businesses with over 4,000 employees globally. The brand is recognized for its leadership and innovation in e-commerce, digital content, advertising, entertainment, and communications, bringing the joy of discovery and access to more than 1 billion members across the world. + +Our teams deliver on the company’s mission to delight merchants and customers through innovation, optimism, and teamwork. + +Rakuten Rewards is a leading e-commerce company that enhances the way people shop by offering Cash Back, deals and rewards from more than 3,500 merchants. Founded in 1999, Rakuten has grown to become the go-to shopping destination for consumers, having paid out nearly $2 billion in Cash Back to its 15 million members. The company also operates ShopStyle, a leading fashion discovery destination, and Cartera Commerce, a top rewards platform for airlines and banks. For more information, visit www.rakuten.com. + +Do you love solving complex business problems using statistical modeling and machine learning? Do you want to contribute to the transformation of a business at scale, introducing automation and optimization across products and business systems? Rakuten Rewards is looking for a data scientist. + +The Data Science team supports a wide spectrum of business domains including user experience personalization (e.g. consumer recommendations), forecasting and optimization of advertising campaigns, anomaly detection/alerting, etc. The scope of our work is broad and still expanding. As a data scientist at Rakuten Rewards, you will have the opportunity to develop and deploy solutions to challenging, practical business problems. Your work will improve the experience of our members and impact the business bottom line. + +Key Responsibilities + + +Collaborate with manager and stakeholders to specify business problems with precision +Support the translation of business problems into machine learning problems, including ML problem formulation and evaluation metric specification. +Perform exploratory data analyses to characterize utility of existing data and to identify needs for new data +Develop data pipelines for feature computation, model training, inference and evaluation +Design and execute offline experiments and simulations +Lead model deployment, business integration and online performance assessment +Maintain technical documentation, develop/present demos and presentations +Support management in project planning and status reporting + + +Minimum Requirements + + +Very strong SQL skills +Experience with big data and machine learning frameworks. Python/sklearn/pytorch strongly preferred. +Practical experience with multiple ML problem types (supervised/unsupervised, classification/regression, RL experience is a plus) +Strong software development skills +Strong problem solving, communication and collaboration skills +Firm understanding of statistics and A/B test fundamentals +Experience with NLP techniques is a plus +Deep learning/NN experience is a plus + + +Qualification Requirements + + +5+ years industry experience applying machine learning methods to solve real-world problems +Bachelor’s degree in AI/ML, computational mathematics, computer science, statistics, physics or related field. Master’s degree strongly preferred. +Experience in ad-tech and/or consumer services is a plus + + +Five Principles for Success + +Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success. + +Always improve, Always Advance - Only be satisfied with complete success - Kaizen + +Passionately Professional - Take an uncompromising approach to your work and be determined to be the best + +Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory + +Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile + +Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team + +Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws. +Show more ","
+ + + + + +
+
+ Job Description:

SUMMARY:

Rakuten International oversees 7 businesses with over 4,000 employees globally. The brand is recognized for its leadership and innovation in e-commerce, digital content, advertising, entertainment, and communications, bringing the joy of discovery and access to more than 1 billion members across the world.

Our teams deliver on the company’s mission to delight merchants and customers through innovation, optimism, and teamwork.

Rakuten Rewards is a leading e-commerce company that enhances the way people shop by offering Cash Back, deals and rewards from more than 3,500 merchants. Founded in 1999, Rakuten has grown to become the go-to shopping destination for consumers, having paid out nearly $2 billion in Cash Back to its 15 million members. The company also operates ShopStyle, a leading fashion discovery destination, and Cartera Commerce, a top rewards platform for airlines and banks. For more information, visit www.rakuten.com.

Do you love solving complex business problems using statistical modeling and machine learning? Do you want to contribute to the transformation of a business at scale, introducing automation and optimization across products and business systems? Rakuten Rewards is looking for a data scientist.

The Data Science team supports a wide spectrum of business domains including user experience personalization (e.g. consumer recommendations), forecasting and optimization of advertising campaigns, anomaly detection/alerting, etc. The scope of our work is broad and still expanding. As a data scientist at Rakuten Rewards, you will have the opportunity to develop and deploy solutions to challenging, practical business problems. Your work will improve the experience of our members and impact the business bottom line.

Key Responsibilities

  • Collaborate with manager and stakeholders to specify business problems with precision
  • Support the translation of business problems into machine learning problems, including ML problem formulation and evaluation metric specification.
  • Perform exploratory data analyses to characterize utility of existing data and to identify needs for new data
  • Develop data pipelines for feature computation, model training, inference and evaluation
  • Design and execute offline experiments and simulations
  • Lead model deployment, business integration and online performance assessment
  • Maintain technical documentation, develop/present demos and presentations
  • Support management in project planning and status reporting

Minimum Requirements

  • Very strong SQL skills
  • Experience with big data and machine learning frameworks. Python/sklearn/pytorch strongly preferred.
  • Practical experience with multiple ML problem types (supervised/unsupervised, classification/regression, RL experience is a plus)
  • Strong software development skills
  • Strong problem solving, communication and collaboration skills
  • Firm understanding of statistics and A/B test fundamentals
  • Experience with NLP techniques is a plus
  • Deep learning/NN experience is a plus

Qualification Requirements

  • 5+ years industry experience applying machine learning methods to solve real-world problems
  • Bachelor’s degree in AI/ML, computational mathematics, computer science, statistics, physics or related field. Master’s degree strongly preferred.
  • Experience in ad-tech and/or consumer services is a plus

Five Principles for Success

Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.

Always improve, Always Advance - Only be satisfied with complete success - Kaizen

Passionately Professional - Take an uncompromising approach to your work and be determined to be the best

Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory

Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile

Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team

Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-01,[] +4107170128,https://ca.linkedin.com/jobs/view/phd-data-scientist-new-grad-at-stripe-4107170128?position=19&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=oZp0N50IIeCc9g%2BnYJuhnQ%3D%3D,"PhD Data Scientist, New Grad",Stripe,"Toronto, Ontario, Canada","About Stripe + +Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. + +About The Team + +Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. + +What you'll do + +We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. + +Who you are + +We’re looking for fresh graduates who meet the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. + +Minimum Requirements + + +Enrolled in a quantitative PhD program (e.g. Mathematics, Engineering, Computer Science, Statistics, or Economics) with the expectation of graduating in winter 2024 or spring/summer 2025 +Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present! +Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation +Experience communicating and collaborating with multidisciplinary stakeholders in a team environment +Ability to communicate results clearly and a focus on driving impact +A demonstrated ability to manage and deliver on multiple projects with a high attention to detail +Solid business acumen and experience in synthesizing complex analyses into actionable recommendations +A builder's mindset with a willingness to question assumptions and conventional wisdom + + + +Preferred Qualifications + + +Experience writing and debugging data pipelines +Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects +Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts +This role is not eligible for hire in the Greater Seattle Area, San Francisco Bay Area, or New York City. We are hiring these positions in Chicago, IL or Toronto, Ontario, Canada. + + + +Hybrid work at Stripe + +Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. + +Pay and benefits + +The annual US base salary range for this role is $144,300 - $216,500. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. + +Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. +Show more ","
+ + + + + +
+
+ About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About The Team

Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

Who you are

We’re looking for fresh graduates who meet the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

  • Enrolled in a quantitative PhD program (e.g. Mathematics, Engineering, Computer Science, Statistics, or Economics) with the expectation of graduating in winter 2024 or spring/summer 2025
  • Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
  • Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
  • Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
  • Ability to communicate results clearly and a focus on driving impact
  • A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
  • Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
  • A builder's mindset with a willingness to question assumptions and conventional wisdom


Preferred Qualifications

  • Experience writing and debugging data pipelines
  • Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
  • Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
  • This role is not eligible for hire in the Greater Seattle Area, San Francisco Bay Area, or New York City. We are hiring these positions in Chicago, IL or Toronto, Ontario, Canada.


Hybrid work at Stripe

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

Pay and benefits

The annual US base salary range for this role is $144,300 - $216,500. For sales roles, the range provided is the role’s On Target Earnings (""OTE"") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-21,[] +4046201055,https://ca.linkedin.com/jobs/view/data-scientist-algorithms-rider-pricing-at-lyft-4046201055?position=23&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=n3yoGyKSUfL6i2o5exJhPA%3D%3D,"Data Scientist, Algorithms - Rider Pricing",Lyft,"Toronto, Ontario, Canada","At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization. + +Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world’s best transportation. We take on a variety of problems ranging from shaping long-term business strategy with data, making short-term critical decisions, and building algorithms/models that power our internal and external products. + +As a Data Scientist, you will be developing analyses, metrics, dashboards, and mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment. + +We are looking for a Data Scientist to join the Rider Pricing team. The Pricing team owns the models and software systems that determine the prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. Additionally, the team owns the development and maintenance of real-time and planned rider incentives with a goal of driving efficient ride growth. The team uses a wide range of causal inference, optimization and reinforcement learning methodologies to achieve these goals. + +You will report to a Data Science Manager. + +Responsibilities: + + +Leverage data and analytic frameworks to identify opportunities for growth and efficiency +Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action +Design and analyze online experiments; communicate results and act on launch decisions +Develop analytical frameworks to monitor business and product performance +Establish metrics that measure the health of our products, as well as rider and driver experience +Provide coaching and technical guidance for the team +Prioritize and lead deep dives into our data to uncover new product and business opportunities +Facilitate and foster data-driven and informed decision making and prioritization + + +Experience: + + +Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience. +Passion for solving unstructured and non-standard, ambiguous mathematical problems by leveraging expertise in one or multiple fields. +Strong skills in optimization, statistics, and causal inference. +End-to-end experience with data, including querying, aggregation, analysis, and visualization. +Proficiency with Python, or another interpreted programming language like R or Matlab +Strong communicator. Able to coordinate with several teams of data scientists to deliver on complex initiatives. +Strong business sense and understanding of experimentation methodologies. +Proficiency in SQL - able to write structured and efficient queries on large data sets. +Experience in online experimentation and statistical analysis. +Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners. + + +Benefits: + + +Extended health and dental coverage options, along with life insurance and disability benefits +Mental health benefits +Family building benefits +Access to a Health Care Savings Account +In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service +4 Floating Holidays each calendar year prorated based off of date of hire +10 paid sick days per year regardless of province +18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible + + +Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request. + +This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +Show more ","
+ + + + + +
+
+ At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world’s best transportation. We take on a variety of problems ranging from shaping long-term business strategy with data, making short-term critical decisions, and building algorithms/models that power our internal and external products.

As a Data Scientist, you will be developing analyses, metrics, dashboards, and mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.

We are looking for a Data Scientist to join the Rider Pricing team. The Pricing team owns the models and software systems that determine the prices shown to riders. Working with our business and analytics partners, the team owns tools to ensure Lyft offers competitive prices while making efficient financial trade-offs. Additionally, the team owns the development and maintenance of real-time and planned rider incentives with a goal of driving efficient ride growth. The team uses a wide range of causal inference, optimization and reinforcement learning methodologies to achieve these goals.

You will report to a Data Science Manager.

Responsibilities:

  • Leverage data and analytic frameworks to identify opportunities for growth and efficiency
  • Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action
  • Design and analyze online experiments; communicate results and act on launch decisions
  • Develop analytical frameworks to monitor business and product performance
  • Establish metrics that measure the health of our products, as well as rider and driver experience
  • Provide coaching and technical guidance for the team
  • Prioritize and lead deep dives into our data to uncover new product and business opportunities
  • Facilitate and foster data-driven and informed decision making and prioritization

Experience:

  • Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience.
  • Passion for solving unstructured and non-standard, ambiguous mathematical problems by leveraging expertise in one or multiple fields.
  • Strong skills in optimization, statistics, and causal inference.
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization.
  • Proficiency with Python, or another interpreted programming language like R or Matlab
  • Strong communicator. Able to coordinate with several teams of data scientists to deliver on complex initiatives.
  • Strong business sense and understanding of experimentation methodologies.
  • Proficiency in SQL - able to write structured and efficient queries on large data sets.
  • Experience in online experimentation and statistical analysis.
  • Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners.

Benefits:

  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Access to a Health Care Savings Account
  • In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
  • 4 Floating Holidays each calendar year prorated based off of date of hire
  • 10 paid sick days per year regardless of province
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-11,[] +4102806702,https://ca.linkedin.com/jobs/view/data-scientist-gtech-ads-professional-services-at-google-4102806702?position=28&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=6CcjpbxavvdpfnmXySfFyg%3D%3D,"Data Scientist, gTech Ads Professional Services",Google,"Toronto, Ontario, Canada","Minimum qualifications: + + +Master's degree in a quantitative discipline such as Statistics, Development, Sciences, or equivalent practical experience. +3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. + + +Preferred qualifications: + + +PhD in Statistics, Mathematics, Economics, Development or Applied Science or equivalent practical experience. +4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree. +Experience in Computer Vision and NLP in the context of marketing analytics and the ability to bring cutting edge generative AI technologies to customer problems in marketing. +Experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, interpretation). +Experience using or deploying digital analytics and measurement solutions. + + +About The Job + +In this role, you will help measure and optimize marketing ROI for Google’s largest clients. You will build bespoke models that address client’s key business challenges. + +Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. + +Responsibilities + + +Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of ML and statistics. +Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem; own the development of end-to-end modeling framework. +Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution. +Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes. +Collaborate with Product or Development teams to increase and optimize capabilities of our Applied DS team, employing methods which create opportunities for scale, proactively helping to drive innovation. + + + +Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +Show more ","
+ + + + + +
+
+ Minimum qualifications:

  • Master's degree in a quantitative discipline such as Statistics, Development, Sciences, or equivalent practical experience.
  • 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Preferred qualifications:

  • PhD in Statistics, Mathematics, Economics, Development or Applied Science or equivalent practical experience.
  • 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  • Experience in Computer Vision and NLP in the context of marketing analytics and the ability to bring cutting edge generative AI technologies to customer problems in marketing.
  • Experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, interpretation).
  • Experience using or deploying digital analytics and measurement solutions.

About The Job

In this role, you will help measure and optimize marketing ROI for Google’s largest clients. You will build bespoke models that address client’s key business challenges.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Responsibilities

  • Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of ML and statistics.
  • Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem; own the development of end-to-end modeling framework.
  • Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
  • Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
  • Collaborate with Product or Development teams to increase and optimize capabilities of our Applied DS team, employing methods which create opportunities for scale, proactively helping to drive innovation.


Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-16,[] +4090060356,https://ca.linkedin.com/jobs/view/data-scientist-at-clio-cloud-based-legal-technology-4090060356?position=32&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=vuU7dQR5HIzAEv6n3sCDZg%3D%3D,Data Scientist,Clio - Cloud-Based Legal Technology,"Toronto, Ontario, Canada","Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. + +Summary: + +We are currently looking for a new Intermediate Data Scientist, to join our Data Insights team and work closely with Clio’s products and business teams. + +You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting – extract valuable insights, enhance our decision-making processes and contribute to the development of innovative financial products. + +The team: + +You will be working alongside a cross-functional team of data scientists, embedded within Clio’s products and business teams, developing AI and ML solutions to understand Clio’s customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better. You will play an integral role, enabling business leaders across Clio make rigorous data-driven decisions. You will help our business grow, help our customers succeed, and continuously improve the way we operate. + +Who you are: + +We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is: + + +Passionate about driving growth empirically; +Always looking to innovate with data and explore open-ended questions; +Strategically minded and never shies away from a challenge; +Self-motivated and able to work autonomously and collaboratively; +Agile and responsive, and comfortable with constant change. + + +You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives. + +What you'll work on: + + +Collaborate with the Clio products teams to refine business problems, develop hypotheses, and provide input that drives growth. +Suggest new questions about our business, product, and customers that lead to impactful insights. +Work with other team members to develop predictive AI and ML solutions and deploy them in production. +Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives. +Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities. +Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example. +Effectively communicate complex technical concepts and findings to both technical and non-technical audiences. + + +What you may have: + + +3+ years applied experience in data science. +The ability to translate business requirements into data science solutions. +Experience in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn) +Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively. +Excellent written and verbal communication skills. +Ability to write structured SQL queries for answering questions and manipulating data. + + +Serious bonus points if you have: + + +Understanding of SaaS business metrics and growth drivers. +Experience with FinTech concepts. +Experience in analytics working with product and user behavior data, e.g., retention or churn analysis +Experience with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFLow) +Experience with large data sets and user behavior data. +Experience with NLP and LLMs. +A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering) + + +What you will find here: + +Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. + +Some highlights of our Total Rewards program include: + + +Competitive, equitable salary with top-tier health benefits, dental, and vision insurance +Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day. +Flexible time off policy, with an encouraged 20 days off per year. +$2000 annual counseling benefit +RRSP matching and RESP contribution +Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years + + +The full salary range* for this role is $106,500 to $125,400 to $144,300 CAD..Please note there are a separate set of salary bands for other regions based on local currency. + + +We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency. + + +Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility + +Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. + +Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. + +Learn more about our culture at clio.com/careers +Show more ","
+ + + + + +
+
+ Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently looking for a new Intermediate Data Scientist, to join our Data Insights team and work closely with Clio’s products and business teams.

You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting – extract valuable insights, enhance our decision-making processes and contribute to the development of innovative financial products.

The team:

You will be working alongside a cross-functional team of data scientists, embedded within Clio’s products and business teams, developing AI and ML solutions to understand Clio’s customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better. You will play an integral role, enabling business leaders across Clio make rigorous data-driven decisions. You will help our business grow, help our customers succeed, and continuously improve the way we operate.

Who you are:

We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

  • Passionate about driving growth empirically;
  • Always looking to innovate with data and explore open-ended questions;
  • Strategically minded and never shies away from a challenge;
  • Self-motivated and able to work autonomously and collaboratively;
  • Agile and responsive, and comfortable with constant change.

You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives.

What you'll work on:

  • Collaborate with the Clio products teams to refine business problems, develop hypotheses, and provide input that drives growth.
  • Suggest new questions about our business, product, and customers that lead to impactful insights.
  • Work with other team members to develop predictive AI and ML solutions and deploy them in production.
  • Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives.
  • Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities.
  • Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example.
  • Effectively communicate complex technical concepts and findings to both technical and non-technical audiences.

What you may have:

  • 3+ years applied experience in data science.
  • The ability to translate business requirements into data science solutions.
  • Experience in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn)
  • Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
  • Excellent written and verbal communication skills.
  • Ability to write structured SQL queries for answering questions and manipulating data.

Serious bonus points if you have:

  • Understanding of SaaS business metrics and growth drivers.
  • Experience with FinTech concepts.
  • Experience in analytics working with product and user behavior data, e.g., retention or churn analysis
  • Experience with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFLow)
  • Experience with large data sets and user behavior data.
  • Experience with NLP and LLMs.
  • A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering)

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day.
  • Flexible time off policy, with an encouraged 20 days off per year.
  • $2000 annual counseling benefit
  • RRSP matching and RESP contribution
  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The full salary range* for this role is $106,500 to $125,400 to $144,300 CAD..Please note there are a separate set of salary bands for other regions based on local currency.

  • We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-03,[] +4103734959,https://ca.linkedin.com/jobs/view/machine-learning-engineer-at-ats-software-4103734959?position=37&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=XwLS0FgljEavIyO%2F%2BYA8gg%3D%3D,Machine Learning Engineer,ATS Software,"Scarborough, Ontario, Canada","ATS is the industry leader in using technology to revolutionize engineering and design processes. We create tools to help engineers and architects to integrate complex systems quickly and accurately for North America’s most exciting building projects. ATS has a strong work ethic committed to delighting clients and providing them with exceptional service. Our thriving and motivated culture is the heartbeat of our organization. We hope you will become a part of it! + + + + +We are seeking a skilled and innovative Machine Learning Engineer to join our dynamic team. + +Responsibilities: + +● Development of Advanced ML Models: Take part in the development and training of advanced machine learning models, with a focus on large language models (LLMs) and optical character recognition (OCR) across various data modalities. Utilize Python and Pandas to make significant contributions to our interdisciplinary projects. + +● Optimization and MLOps Application: Assist in refining our codebase and adopting MLOps practices to enhance the machine learning lifecycle across modalities, from data preparation to deployment and monitoring. Develop and implement strategies to manage the machine learning lifecycle for seamless integration of AI and ML models within the data warehouse. + +● Interdisciplinary Model Integration: Collaborate with data engineers and data scientists to ensure data quality and model accuracy. text and vision, into our application ecosystem. Focus on enhancing performance and scalability under the guidance of senior leadership. + +Required Qualifications: + +● Deep Learning Expertise Across Modalities: Strong knowledge and experience with deep learning algorithms such as RCNN, LSTM, and Transformers, particularly applied to various modalities like text and vision. + +● Experience with Interdisciplinary CV and NLP Models: Demonstrated experience working with machine learning models in computer vision and NLP, showcasing the ability to tackle complex, interdisciplinary problems through innovative ML solutions. + +● MLOps Platforms Proficiency: Familiarity with MLOps platforms such as AWS SageMaker, Databricks, and Weights & Biases, with a competency in leveraging these tools to streamline the ML lifecycle across various data modalities. + +● Coding Proficiency and Best Practices: Experience in writing clean, efficient code following Object-Oriented Programming (OOP) principles and coding best practices, with a proven ability to navigate and contribute to complex codebases. + +● Proficiency in Python, SQL, and relevant data warehouse technologies (e.g., Snowflake, Redshift, BigQuery). + +Preferred Qualifications: + +● Document Processing Expertise: Experience with technologies related to PDFs, Document AI models, and OCR is highly valued, particularly in the context of processing and analyzing information across different modalities. + +● In this role, you'll be a key player in driving the development and optimization of our interdisciplinary machine learning projects, spanning various modalities such as text and vision. + + + + +Your Life and Career at ATS: + +ATS is dynamic, industrious, innovative, and collaborative. We believe diverse and inclusive organizations create work environments that are inventive and open-minded, where people spark new ideas and explore alternatives. At ATS, we offer the following to make sure you have a rewarding and enjoyable experience: + +· Competitive salary + +· Career advancement opportunities + +· Benefits package for all eligible full-time employees (including medical, vision and dental). + +· A culture that promotes a healthy, fulfilling work-life balance + +· Free parking + +· Foosball, Ping Pong Table & basketball net + +· Gym facilities + +· Epic year-round employee events! + +TO APPLY: Send your resume and salary expectations to Mike.Giannini@atssoftware.com. NO PHONE CALLS PLEASE. + +To learn more about our company visit our web page: atssoftware.com + +and our promotional video: https://www.youtube.com/watch?v=MPyk3BdN-8o + +ATS Software Inc. values diversity and is proud to be an Equal Opportunity Employer. We are committed to the principles and practices of employment equity and encourage all qualified individuals, including women, persons with disabilities, visible minorities, and Aboriginal Peoples to apply. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used. + +Show more ","
+ + + + + +
+
+

ATS is the industry leader in using technology to revolutionize engineering and design processes. We create tools to help engineers and architects to integrate complex systems quickly and accurately for North America’s most exciting building projects. ATS has a strong work ethic committed to delighting clients and providing them with exceptional service. Our thriving and motivated culture is the heartbeat of our organization. We hope you will become a part of it!


We are seeking a skilled and innovative Machine Learning Engineer to join our dynamic team.

Responsibilities:

● Development of Advanced ML Models: Take part in the development and training of advanced machine learning models, with a focus on large language models (LLMs) and optical character recognition (OCR) across various data modalities. Utilize Python and Pandas to make significant contributions to our interdisciplinary projects.

● Optimization and MLOps Application: Assist in refining our codebase and adopting MLOps practices to enhance the machine learning lifecycle across modalities, from data preparation to deployment and monitoring. Develop and implement strategies to manage the machine learning lifecycle for seamless integration of AI and ML models within the data warehouse.

● Interdisciplinary Model Integration: Collaborate with data engineers and data scientists to ensure data quality and model accuracy. text and vision, into our application ecosystem. Focus on enhancing performance and scalability under the guidance of senior leadership.

Required Qualifications:

● Deep Learning Expertise Across Modalities: Strong knowledge and experience with deep learning algorithms such as RCNN, LSTM, and Transformers, particularly applied to various modalities like text and vision.

● Experience with Interdisciplinary CV and NLP Models: Demonstrated experience working with machine learning models in computer vision and NLP, showcasing the ability to tackle complex, interdisciplinary problems through innovative ML solutions.

● MLOps Platforms Proficiency: Familiarity with MLOps platforms such as AWS SageMaker, Databricks, and Weights & Biases, with a competency in leveraging these tools to streamline the ML lifecycle across various data modalities.

● Coding Proficiency and Best Practices: Experience in writing clean, efficient code following Object-Oriented Programming (OOP) principles and coding best practices, with a proven ability to navigate and contribute to complex codebases.

● Proficiency in Python, SQL, and relevant data warehouse technologies (e.g., Snowflake, Redshift, BigQuery).

Preferred Qualifications:

● Document Processing Expertise: Experience with technologies related to PDFs, Document AI models, and OCR is highly valued, particularly in the context of processing and analyzing information across different modalities.

● In this role, you'll be a key player in driving the development and optimization of our interdisciplinary machine learning projects, spanning various modalities such as text and vision.


Your Life and Career at ATS:

ATS is dynamic, industrious, innovative, and collaborative. We believe diverse and inclusive organizations create work environments that are inventive and open-minded, where people spark new ideas and explore alternatives. At ATS, we offer the following to make sure you have a rewarding and enjoyable experience:

· Competitive salary

· Career advancement opportunities

· Benefits package for all eligible full-time employees (including medical, vision and dental).

· A culture that promotes a healthy, fulfilling work-life balance

· Free parking

· Foosball, Ping Pong Table & basketball net

· Gym facilities

· Epic year-round employee events!

TO APPLY: Send your resume and salary expectations to Mike.Giannini@atssoftware.com. NO PHONE CALLS PLEASE.

To learn more about our company visit our web page: atssoftware.com

and our promotional video: https://www.youtube.com/watch?v=MPyk3BdN-8o

ATS Software Inc. values diversity and is proud to be an Equal Opportunity Employer. We are committed to the principles and practices of employment equity and encourage all qualified individuals, including women, persons with disabilities, visible minorities, and Aboriginal Peoples to apply. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-18,[] +4090129151,https://ca.linkedin.com/jobs/view/python-developer-at-tata-consultancy-services-4090129151?position=38&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=HKkLXjKYsGYajPcliZlDMA%3D%3D,Python Developer,Tata Consultancy Services,"Toronto, Ontario, Canada","About TCS; + + + + +Inclusion without Exception + +TCS is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity and is reflected in our people stories across our workforce implemented through equitable workplace policies and processes. + + + + +Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index. + + + + +Key Skills: + + + + +•Good Years of Experience as Developer and Designer + +•Extensive Experience with Python scripting + +•Extensive SQL knowledge + +•Experience with JAVA development. + + + + +Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource. + + + + +Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile. + +Show more ","
+ + + + + +
+
+

About TCS;


Inclusion without Exception

TCS is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity and is reflected in our people stories across our workforce implemented through equitable workplace policies and processes.


Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.


Key Skills:


•Good Years of Experience as Developer and Designer

•Extensive Experience with Python scripting

•Extensive SQL knowledge

•Experience with JAVA development.


Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource.


Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

+
+ + + + + + + + + + + + + + + + + + +
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",2024-12-04,[] +4090103599,https://ca.linkedin.com/jobs/view/python-developer-at-tata-consultancy-services-4090103599?position=46&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=l5X9xtQTWsCAIQXqnjU6%2BQ%3D%3D,Python Developer,Tata Consultancy Services,"Toronto, Ontario, Canada","Inclusion without Exception + +TCS is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity and is reflected in our people stories across our workforce implemented through equitable workplace policies and processes. + + + + +About TCS + +Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index. + + + + +Skills and Responsibilities: + + + + +•Min of Hands-on experience. + +•Programming Languages: Python, SQL, C# + +•Database: SQL Server, Oracle, Snowflake + +•Experience building data engineering solutions and working with large datasets in a financial organization + +•Programming Languages: Python, SQL, C# + +•Database: SQL Server, Oracle, Snowflake. + + + + +Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource. + + + + +Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2 week period. We invite you to continue to apply for other opportunities that match your profile. + +Show more ","
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Inclusion without Exception

TCS is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity and is reflected in our people stories across our workforce implemented through equitable workplace policies and processes.


About TCS

Tata Consultancy Services is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 615,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $27.9 billion in the fiscal year ended March 31, 2023, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.


Skills and Responsibilities:


•Min of Hands-on experience.

•Programming Languages: Python, SQL, C#

•Database: SQL Server, Oracle, Snowflake

•Experience building data engineering solutions and working with large datasets in a financial organization

•Programming Languages: Python, SQL, C#

•Database: SQL Server, Oracle, Snowflake.


Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please inform Human Resource.


Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2 week period. We invite you to continue to apply for other opportunities that match your profile.

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",2024-12-04,[] +4088752586,https://ca.linkedin.com/jobs/view/data-scientist-machine-learning-engineer-at-haventree-bank-4088752586?position=48&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=Xvt7s%2F0ONAwud37Hmlo1VQ%3D%3D,Data Scientist/Machine Learning Engineer,Haventree Bank,"Toronto, Ontario, Canada","Haventree Bank is a private Canadian Schedule 1 bank specializing in alternative mortgage programs and insured GIC deposits. We help hardworking Canadians from coast-to-coast achieve homeownership by offering flexible mortgage solutions. Our insured GIC deposits offer competitive rates and are available through a variety of wealth management platforms. + + + + +About Haventree Bank + + + + +Headquartered in Toronto, Ontario, Haventree Bank (Haventree) is a mission driven alternative mortgage lender. The name Haventree is representative of the bank’s mission to help its customers find a place of refuge and to lay down new roots for the future. Haventree exists to be a catalyst of financial security and upward mobility for Canadians who are underserved by the traditional financial system. + + + + +Position Summary: + + + + +We are seeking a motivated and skilled Data Scientist/ML Engineer to join our expanding data science team within the bank. Reporting to the Senior Manager of Data Analytics, this role is instrumental in shaping and driving data-driven decision-making through the development and deployment of statistical and machine learning models, with a core focus on credit risk. You will work on diverse use cases, including lending risks and geospatial analysis for climate, fraud detection for our direct-to-consumer business, and other critical business applications. This position requires a strong foundation in statistical modeling and machine learning, combined with the technical skills to implement and scale models in a production environment. You will also be expected to independently research and apply new methodologies, leveraging resources like academic papers, GitHub repositories, and Kaggle projects to find innovative solutions. + + + + +Major Duties & Responsibilities: + + + + +Credit Risk Modeling: Develop, enhance, and validate statistical and machine learning models for credit risk assessments, loan default prediction, and portfolio risk optimization. +Fraud Detection: Design machine learning models to detect and mitigate fraud in real-time, supporting direct-to-consumer business initiatives. +Geospatial Analysis: Conduct geospatial modeling and work with raster and vector data to address climate-related risks and optimize lending and operational strategies. +Model Deployment: Collaborate with IT and relevant stakeholders to deploy machine learning models, ensuring scalability and integration with existing systems. +Data Analysis and Insights: Analyze large, complex datasets to extract actionable insights, focusing on business priorities like customer behavior, risk mitigation, and operational efficiency. +AutoML and Tool Usage: Utilize advanced data science and analytics platforms (e.g., Alteryx, DataRobot, or similar) to automate workflows, streamline model development, and support seamless deployment of predictive models. +Model Monitoring: Monitor and fine-tune deployed models to ensure accuracy, fairness, and performance over time. +Independent Research and Innovation: Independently explore and implement cutting-edge methodologies from academic research, open-source communities (e.g., GitHub, Kaggle), and industry best practices to drive team innovation and stay ahead of trends. +Stakeholder Collaboration: Partner with internal teams, including Risk Management, IT, and Business Operations, to align model outputs with strategic goals. + + + + +Qualifications & Experience: + + + + +Degrees, Diplomas & Certifications: + + + + +A Master’s degree in a quantitative field (e.g., Statistics, Actuarial Science, Data Science, Financial Engineering, or Analytics), or a Bachelor’s degree with 3+ years of hands-on experience in data science, machine learning, or a related field requiring rigorous statistical knowledge and techniques. + + + + +Years and Range of Experience Required to Perform the Job: + + + + +Strong experience with statistical modeling and machine learning techniques, including regression, decision trees, clustering and probabilistic Bayesian model. +Proficiency in programming languages like Python or R, with experience with relevant libraries (e.g., scikit-learn, xarray, PyBN, GeoPandas, Rasterio, pyproj). +Hands-on experience with cloud platforms like AWS, including working with data lakes and scalable data processing tools such as Databricks. +Proficiency with tools like Alteryx and Dataiku for automating analytics workflows and enabling machine learning applications. +Experience in geospatial data analysis, including working with QGIS and integrating raster and vector data to solve real-world business problems, such as climate risk assessment and geographic optimization. +Familiarity with data visualization tools (e.g., Tableau, Power BI) or libraries (e.g., Matplotlib, ggplot2) to effectively communicate insights. +Experience in synthesizing data, including generating synthetic datasets for model development. +Strong foundational understanding of Artificial Intelligence and Analytic Process Automation (APA) to identify and implement opportunities for streamlining workflows and accelerating AI adoption. +Exceptional analytical and problem-solving skills, with the ability to translate complex business problems into actionable technical solutions. +Ability to independently research new techniques and implement solutions using diverse resources. +Excellent communication skills, with the ability to articulate their findings and recommendations clearly to both technical and non-technical stakeholders. +Knowledge of credit risk or insurance frameworks and regulatory requirements (e.g., Basel, IFRS 9, IFRS 17), with the ability to apply actuarial science concepts to credit and other emerging risk domains is preferred. +Experience deploying ML models in production environments, including containerized solutions such as Docker or equivalent is preferred. +Knowledge of frameworks like Flask for creating APIs to serve machine learning models is preferred. +Experience in fraud detection models and techniques, including anomaly detection and supervised/unsupervised learning methods is preferred. +Background in retail banking, residential mortgage lending, or financial services is preferred. +Bilingual (French/English) would be an asset. + + + + +While we thank everyone for their interest in Haventree Bank, please note that only candidates selected for an interview will be contacted. Haventree Bank is committed to providing accommodation when needed. If you require an accommodation, we will work with you to meet your needs. + +As a job candidate, our recruitment process includes collecting personal information. Please click the link here to review our Privacy Policy. Privacy Statement | Haventree Bank +Stay in touch with us, if this position is not the right one for you – please click on this link for other roles at Careers | Haventree Bank or follow us on LinkedIn at www.linkedin.com/company/haventree-bank/ +Haventree Bank embraces equal opportunity, diversity, and inclusion. Please let us know if you require any accommodations during the recruitment and selection process by contacting accessibility@haventreebank.com +Show more ","
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Haventree Bank is a private Canadian Schedule 1 bank specializing in alternative mortgage programs and insured GIC deposits. We help hardworking Canadians from coast-to-coast achieve homeownership by offering flexible mortgage solutions. Our insured GIC deposits offer competitive rates and are available through a variety of wealth management platforms.


About Haventree Bank


Headquartered in Toronto, Ontario, Haventree Bank (Haventree) is a mission driven alternative mortgage lender. The name Haventree is representative of the bank’s mission to help its customers find a place of refuge and to lay down new roots for the future. Haventree exists to be a catalyst of financial security and upward mobility for Canadians who are underserved by the traditional financial system.


Position Summary:


We are seeking a motivated and skilled Data Scientist/ML Engineer to join our expanding data science team within the bank. Reporting to the Senior Manager of Data Analytics, this role is instrumental in shaping and driving data-driven decision-making through the development and deployment of statistical and machine learning models, with a core focus on credit risk. You will work on diverse use cases, including lending risks and geospatial analysis for climate, fraud detection for our direct-to-consumer business, and other critical business applications. This position requires a strong foundation in statistical modeling and machine learning, combined with the technical skills to implement and scale models in a production environment. You will also be expected to independently research and apply new methodologies, leveraging resources like academic papers, GitHub repositories, and Kaggle projects to find innovative solutions.


Major Duties & Responsibilities:


  • Credit Risk Modeling: Develop, enhance, and validate statistical and machine learning models for credit risk assessments, loan default prediction, and portfolio risk optimization.
  • Fraud Detection: Design machine learning models to detect and mitigate fraud in real-time, supporting direct-to-consumer business initiatives.
  • Geospatial Analysis: Conduct geospatial modeling and work with raster and vector data to address climate-related risks and optimize lending and operational strategies.
  • Model Deployment: Collaborate with IT and relevant stakeholders to deploy machine learning models, ensuring scalability and integration with existing systems.
  • Data Analysis and Insights: Analyze large, complex datasets to extract actionable insights, focusing on business priorities like customer behavior, risk mitigation, and operational efficiency.
  • AutoML and Tool Usage: Utilize advanced data science and analytics platforms (e.g., Alteryx, DataRobot, or similar) to automate workflows, streamline model development, and support seamless deployment of predictive models.
  • Model Monitoring: Monitor and fine-tune deployed models to ensure accuracy, fairness, and performance over time.
  • Independent Research and Innovation: Independently explore and implement cutting-edge methodologies from academic research, open-source communities (e.g., GitHub, Kaggle), and industry best practices to drive team innovation and stay ahead of trends.
  • Stakeholder Collaboration: Partner with internal teams, including Risk Management, IT, and Business Operations, to align model outputs with strategic goals.


Qualifications & Experience:


Degrees, Diplomas & Certifications:


  • A Master’s degree in a quantitative field (e.g., Statistics, Actuarial Science, Data Science, Financial Engineering, or Analytics), or a Bachelor’s degree with 3+ years of hands-on experience in data science, machine learning, or a related field requiring rigorous statistical knowledge and techniques.


Years and Range of Experience Required to Perform the Job:


  • Strong experience with statistical modeling and machine learning techniques, including regression, decision trees, clustering and probabilistic Bayesian model.
  • Proficiency in programming languages like Python or R, with experience with relevant libraries (e.g., scikit-learn, xarray, PyBN, GeoPandas, Rasterio, pyproj).
  • Hands-on experience with cloud platforms like AWS, including working with data lakes and scalable data processing tools such as Databricks.
  • Proficiency with tools like Alteryx and Dataiku for automating analytics workflows and enabling machine learning applications.
  • Experience in geospatial data analysis, including working with QGIS and integrating raster and vector data to solve real-world business problems, such as climate risk assessment and geographic optimization.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) or libraries (e.g., Matplotlib, ggplot2) to effectively communicate insights.
  • Experience in synthesizing data, including generating synthetic datasets for model development.
  • Strong foundational understanding of Artificial Intelligence and Analytic Process Automation (APA) to identify and implement opportunities for streamlining workflows and accelerating AI adoption.
  • Exceptional analytical and problem-solving skills, with the ability to translate complex business problems into actionable technical solutions.
  • Ability to independently research new techniques and implement solutions using diverse resources.
  • Excellent communication skills, with the ability to articulate their findings and recommendations clearly to both technical and non-technical stakeholders.
  • Knowledge of credit risk or insurance frameworks and regulatory requirements (e.g., Basel, IFRS 9, IFRS 17), with the ability to apply actuarial science concepts to credit and other emerging risk domains is preferred.
  • Experience deploying ML models in production environments, including containerized solutions such as Docker or equivalent is preferred.
  • Knowledge of frameworks like Flask for creating APIs to serve machine learning models is preferred.
  • Experience in fraud detection models and techniques, including anomaly detection and supervised/unsupervised learning methods is preferred.
  • Background in retail banking, residential mortgage lending, or financial services is preferred.
  • Bilingual (French/English) would be an asset.


While we thank everyone for their interest in Haventree Bank, please note that only candidates selected for an interview will be contacted. Haventree Bank is committed to providing accommodation when needed. If you require an accommodation, we will work with you to meet your needs.

  1. As a job candidate, our recruitment process includes collecting personal information. Please click the link here to review our Privacy Policy. Privacy Statement | Haventree Bank
  2. Stay in touch with us, if this position is not the right one for you – please click on this link for other roles at Careers | Haventree Bank or follow us on LinkedIn at www.linkedin.com/company/haventree-bank/
  3. Haventree Bank embraces equal opportunity, diversity, and inclusion. Please let us know if you require any accommodations during the recruitment and selection process by contacting accessibility@haventreebank.com
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",2024-12-10,[] +4110680066,https://ca.linkedin.com/jobs/view/senior-lead-data-scientist-riyadh-at-talent-seed-4110680066?position=56&pageNum=0&refId=S6wjQXYptsUaCoOwUePS1A%3D%3D&trackingId=C%2B729VstaQjslxs%2F0QugXQ%3D%3D,Senior / Lead Data Scientist [Riyadh],Talent Seed,"Greater Toronto Area, Canada","*Riyadh Based* - This role requires relocation to Riyadh, KSA + + + + +Our client seeks a Senior / Lead Data Scientist with a passion for data and at least 6 years of industry experience. The successful candidate will develop models that transform complex datasets into actionable insights, enhancing our product offerings and informing strategic decisions. + + + + +Key Responsibilities: + +Develop and deploy machine learning models and algorithms to address complex business challenges. +Translate intricate business problems into technical solutions. +Write clean, modular, and scalable code suitable for production environments. +Lead data mining and collection strategies to prepare large-scale data for predictive and prescriptive modelling. +Analyze extensive, complex datasets to extract insights and communicate results effectively. +Innovate new modelling and machine learning approaches to enhance existing processes and capabilities. +Collaborate with cross-functional teams, including engineering, product management, MLOps, and leadership, to define problem statements, scope projects, and deliver analytics solutions. +Mentor peers in data science and model development, promoting best practices. +Remain abreast of the latest technologies and trends in artificial intelligence and machine learning. + + + + +Required Qualifications: + +Bachelor’s degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering. +6+ years of experience in data science, with strong proficiency in writing scale and production-grade code in Python. +Solid understanding and proficiency in working with Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch, SQL. +Proficiency in advanced data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Tableau) for creating insightful and interactive visualizations. +Solid understanding of data structures, data modelling, and software architecture. +Experience with cloud services (such as AWS) and tools for machine learning projects. +Strong analytical skills with an aptitude for problem-solving and innovation. +Experience working in cross-cultural and cross-functional teams, ideally in a product company. + + + + +Preferred Qualifications: + +A Master’s or higher in a relevant field to deepen theoretical knowledge and practical skills. +Experience with AWS or other cloud technologies for model training and deployment. +Show more ","
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*Riyadh Based* - This role requires relocation to Riyadh, KSA


Our client seeks a Senior / Lead Data Scientist with a passion for data and at least 6 years of industry experience. The successful candidate will develop models that transform complex datasets into actionable insights, enhancing our product offerings and informing strategic decisions.


Key Responsibilities:

  • Develop and deploy machine learning models and algorithms to address complex business challenges.
  • Translate intricate business problems into technical solutions.
  • Write clean, modular, and scalable code suitable for production environments.
  • Lead data mining and collection strategies to prepare large-scale data for predictive and prescriptive modelling.
  • Analyze extensive, complex datasets to extract insights and communicate results effectively.
  • Innovate new modelling and machine learning approaches to enhance existing processes and capabilities.
  • Collaborate with cross-functional teams, including engineering, product management, MLOps, and leadership, to define problem statements, scope projects, and deliver analytics solutions.
  • Mentor peers in data science and model development, promoting best practices.
  • Remain abreast of the latest technologies and trends in artificial intelligence and machine learning.


Required Qualifications:

  • Bachelor’s degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering.
  • 6+ years of experience in data science, with strong proficiency in writing scale and production-grade code in Python.
  • Solid understanding and proficiency in working with Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch, SQL.
  • Proficiency in advanced data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Tableau) for creating insightful and interactive visualizations.
  • Solid understanding of data structures, data modelling, and software architecture.
  • Experience with cloud services (such as AWS) and tools for machine learning projects.
  • Strong analytical skills with an aptitude for problem-solving and innovation.
  • Experience working in cross-cultural and cross-functional teams, ideally in a product company.


Preferred Qualifications:

  • A Master’s or higher in a relevant field to deepen theoretical knowledge and practical skills.
  • Experience with AWS or other cloud technologies for model training and deployment.
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",2024-12-28,[] +4078054718,https://ca.linkedin.com/jobs/view/ai-data-scientist-at-electronic-arts-ea-4078054718?position=3&pageNum=0&refId=mh%2Fdv4KgJcKGPfSANSli9g%3D%3D&trackingId=3U7D7WE7d6hJDUlBSoeO7Q%3D%3D,AI Data Scientist,Electronic Arts (EA),"Burnaby, British Columbia, Canada","Empowering players to create is an exciting future for the gaming industry. At Electronic Arts we have many examples of players creating content, whether it be a skateboard park in Skate or fantastical mansions in the Sims 4. The future definitely has our players being more empowered to create with their imagination being the only limit. + +We are looking for a Data Scientist to help shape the future of content creation and gameplay with AI. If you have the right expertise and are interested we want to hear from you! + +As a Data Scientist you will + + +Apply current and emerging techniques in deep learning, natural language processing and other machine learning areas. +Collect, clean, manage, analyze and visualize large sets of data using multiple data platforms, tools and techniques. +Work in partnership with game teams to integrate AI solutions into products and services. +Optimize and fine-tune AI models for performance and scalability. + + + + +Required Qualifications And Experience + + +Graduate degree in statistics, mathematics, computer science, or related field +Expertise in deep learning and fluency with machine learning frameworks and libraries (e.g. Scikit-Learn, PyTorch) +Fluent in Python and good knowledge of SQL +Exposure to Cloud environments (e.g. GCP, AWS, or Azure) +Exposure to devops tools and principles (Git, CI/CD, Docker) +Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment +Strong communication skills, both written and verbal + + +Ceci ne s’applique pas au Québec. COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). BASE SALARY RANGES + + +California (depending on location e.g. Los Angeles vs. Sacramento) +$122,300 - $170,600 USD + + +Colorado (depending on location e.g. Denver vs. Colorado Springs) +$111,800 - $151,800 USD + + +Jersey City, NJ +$137,300 - $170,600 USD + + +New York (depending on location e.g. Manhattan vs. Buffalo) +$104,000 - $170,600 USD + + +Washington (depending on location e.g. Seattle vs. Spokane) +$104,000 - $174,700 USD + + +British Columbia (depending on location e.g. Vancouver vs. Victoria) +$96,400 - $133,900 CAD + +Base salary is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. +Show more ","
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+ Empowering players to create is an exciting future for the gaming industry. At Electronic Arts we have many examples of players creating content, whether it be a skateboard park in Skate or fantastical mansions in the Sims 4. The future definitely has our players being more empowered to create with their imagination being the only limit.

We are looking for a Data Scientist to help shape the future of content creation and gameplay with AI. If you have the right expertise and are interested we want to hear from you!

As a Data Scientist you will

  • Apply current and emerging techniques in deep learning, natural language processing and other machine learning areas.
  • Collect, clean, manage, analyze and visualize large sets of data using multiple data platforms, tools and techniques.
  • Work in partnership with game teams to integrate AI solutions into products and services.
  • Optimize and fine-tune AI models for performance and scalability.



Required Qualifications And Experience

  • Graduate degree in statistics, mathematics, computer science, or related field
  • Expertise in deep learning and fluency with machine learning frameworks and libraries (e.g. Scikit-Learn, PyTorch)
  • Fluent in Python and good knowledge of SQL
  • Exposure to Cloud environments (e.g. GCP, AWS, or Azure)
  • Exposure to devops tools and principles (Git, CI/CD, Docker)
  • Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment
  • Strong communication skills, both written and verbal

Ceci ne s’applique pas au Québec. COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). BASE SALARY RANGES

  • California (depending on location e.g. Los Angeles vs. Sacramento)
    • $122,300 - $170,600 USD

  • Colorado (depending on location e.g. Denver vs. Colorado Springs)
    • $111,800 - $151,800 USD

  • Jersey City, NJ
    • $137,300 - $170,600 USD

  • New York (depending on location e.g. Manhattan vs. Buffalo)
    • $104,000 - $170,600 USD

  • Washington (depending on location e.g. Seattle vs. Spokane)
    • $104,000 - $174,700 USD

  • British Columbia (depending on location e.g. Vancouver vs. Victoria)
    • $96,400 - $133,900 CAD
Base salary is just one part of the overall compensation at EA. In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity. For British Columbia, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity. +
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",2024-12-11,[] +4090058770,https://ca.linkedin.com/jobs/view/data-scientist-at-clio-cloud-based-legal-technology-4090058770?position=10&pageNum=0&refId=mh%2Fdv4KgJcKGPfSANSli9g%3D%3D&trackingId=9cw3bcEmZlXFF6jOQ6hewg%3D%3D,Data Scientist,Clio - Cloud-Based Legal Technology,"Vancouver, British Columbia, Canada","Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. + +Summary: + +We are currently looking for a new Intermediate Data Scientist, to join our Data Insights team and work closely with Clio’s products and business teams. + +You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting – extract valuable insights, enhance our decision-making processes and contribute to the development of innovative financial products. + +The team: + +You will be working alongside a cross-functional team of data scientists, embedded within Clio’s products and business teams, developing AI and ML solutions to understand Clio’s customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better. You will play an integral role, enabling business leaders across Clio make rigorous data-driven decisions. You will help our business grow, help our customers succeed, and continuously improve the way we operate. + +Who you are: + +We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is: + + +Passionate about driving growth empirically; +Always looking to innovate with data and explore open-ended questions; +Strategically minded and never shies away from a challenge; +Self-motivated and able to work autonomously and collaboratively; +Agile and responsive, and comfortable with constant change. + + +You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives. + +What you'll work on: + + +Collaborate with the Clio products teams to refine business problems, develop hypotheses, and provide input that drives growth. +Suggest new questions about our business, product, and customers that lead to impactful insights. +Work with other team members to develop predictive AI and ML solutions and deploy them in production. +Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives. +Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities. +Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example. +Effectively communicate complex technical concepts and findings to both technical and non-technical audiences. + + +What you may have: + + +3+ years applied experience in data science. +The ability to translate business requirements into data science solutions. +Experience in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn) +Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively. +Excellent written and verbal communication skills. +Ability to write structured SQL queries for answering questions and manipulating data. + + +Serious bonus points if you have: + + +Understanding of SaaS business metrics and growth drivers. +Experience with FinTech concepts. +Experience in analytics working with product and user behavior data, e.g., retention or churn analysis +Experience with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFLow) +Experience with large data sets and user behavior data. +Experience with NLP and LLMs. +A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering) + + +What you will find here: + +Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. + +Some highlights of our Total Rewards program include: + + +Competitive, equitable salary with top-tier health benefits, dental, and vision insurance +Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day. +Flexible time off policy, with an encouraged 20 days off per year. +$2000 annual counseling benefit +RRSP matching and RESP contribution +Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years + + +The full salary range* for this role is $106,500 to $125,400 to $144,300 CAD..Please note there are a separate set of salary bands for other regions based on local currency. + + +We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency. + + +Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility + +Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. + +Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. + +Learn more about our culture at clio.com/careers +Show more ","
+ + + + + +
+
+ Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently looking for a new Intermediate Data Scientist, to join our Data Insights team and work closely with Clio’s products and business teams.

You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and strategy setting – extract valuable insights, enhance our decision-making processes and contribute to the development of innovative financial products.

The team:

You will be working alongside a cross-functional team of data scientists, embedded within Clio’s products and business teams, developing AI and ML solutions to understand Clio’s customers, to bring them cutting-edge AI and GenAI products, and to recommend proactive and efficient ways to serve them better. You will play an integral role, enabling business leaders across Clio make rigorous data-driven decisions. You will help our business grow, help our customers succeed, and continuously improve the way we operate.

Who you are:

We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

  • Passionate about driving growth empirically;
  • Always looking to innovate with data and explore open-ended questions;
  • Strategically minded and never shies away from a challenge;
  • Self-motivated and able to work autonomously and collaboratively;
  • Agile and responsive, and comfortable with constant change.

You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data & AI team for learning, career development, and company-wide data initiatives.

What you'll work on:

  • Collaborate with the Clio products teams to refine business problems, develop hypotheses, and provide input that drives growth.
  • Suggest new questions about our business, product, and customers that lead to impactful insights.
  • Work with other team members to develop predictive AI and ML solutions and deploy them in production.
  • Apply rigorous statistical analysis and data mining techniques to evaluate impact of different product features and other business initiatives.
  • Employ statistical analysis, machine learning, GenAI, LLMs, etc. to unlock new product opportunities.
  • Support scientific thinking in product and business teams by enabling discussions with data, disseminating best practices, and leading by example.
  • Effectively communicate complex technical concepts and findings to both technical and non-technical audiences.

What you may have:

  • 3+ years applied experience in data science.
  • The ability to translate business requirements into data science solutions.
  • Experience in developing analysis in Python and experience with relevant ML libraries and frameworks (e.g., pandas, PyTorch, scikit-learn)
  • Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
  • Excellent written and verbal communication skills.
  • Ability to write structured SQL queries for answering questions and manipulating data.

Serious bonus points if you have:

  • Understanding of SaaS business metrics and growth drivers.
  • Experience with FinTech concepts.
  • Experience in analytics working with product and user behavior data, e.g., retention or churn analysis
  • Experience with building ML/AI pipelines and relevant tools (e.g., Kedro, MLFLow)
  • Experience with large data sets and user behavior data.
  • Experience with NLP and LLMs.
  • A graduate degree in a relevant quantitative discipline (computer science, statistics, mathematics, physics, engineering)

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office min. once per week on our Anchor Day.
  • Flexible time off policy, with an encouraged 20 days off per year.
  • $2000 annual counseling benefit
  • RRSP matching and RESP contribution
  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The full salary range* for this role is $106,500 to $125,400 to $144,300 CAD..Please note there are a separate set of salary bands for other regions based on local currency.

  • We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Please note there are a separate set of salary bands for other regions based on local currency.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-03,[] +4111448926,https://ca.linkedin.com/jobs/view/senior-data-scientist-at-microsoft-4111448926?position=11&pageNum=0&refId=mh%2Fdv4KgJcKGPfSANSli9g%3D%3D&trackingId=hsoYTF0o1vW5ZPsCfC2sfQ%3D%3D,Senior Data Scientist,Microsoft,"Vancouver, British Columbia, Canada","Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive!  + +The Feeds & Verticals organization builds tools to connect people to content that matters. We aim to make Microsoft consumer products the content powerhouse for every person on the planet by delivering personalized experiences. We are looking for a highly motivated and experienced Senior Data Scientist to join our Growth and Analytics team. + +Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. + +Responsibilities + +In this role, you will have ownership of high-visibility initiatives across our portfolio and will lead the generation of insights that drive our business. Expect to work with a host of engaged stakeholders who value your skills and consider you thought partners in driving the business!  + +Data & Analytics:  + + +Collaborating with stakeholders to identify and align on business-critical metrics, their definitions, sources, and interpretations.  +Gathering, processing, and interpreting data from various sources while ensuring data quality and integrity.  +Analyzing large datasets to identify patterns, trends, and content performance to provide ongoing reports on the relevance and quality of our products.  +Utilizing experimentation results to iterate and fine-tune models, ensuring continuous improvement and impact on key business metrics. + + +Collaboration & Communication + + +Working closely with product managers, engineers, and other stakeholders to understand business requirements and translate them into actionable data science initiatives.  +Effectively communicating findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making. +Sharing and discussing findings with senior leadership to shape product strategy and investments.  + + +Qualifications + +Required Qualifications:  + + +Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) +OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) +OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) +OR equivalent experience. + +Preferred Qualifications:  + + +Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) +OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) +OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)) +OR equivalent experience. +Experience with Power BI and SQL is advantageous. + +Data Science IC4 - The typical base pay range for this role across Canada is CAD $108,100 - CAD $199,700 per year. + +Find Additional Pay Information Here + +https://careers.microsoft.com/v2/global/en/canada-pay-information.html + +Microsoft will accept applications for the role until January 1, 2025. + +Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. +Show more ","
+ + + + + +
+
+ Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive! 

The Feeds & Verticals organization builds tools to connect people to content that matters. We aim to make Microsoft consumer products the content powerhouse for every person on the planet by delivering personalized experiences. We are looking for a highly motivated and experienced Senior Data Scientist to join our Growth and Analytics team.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

In this role, you will have ownership of high-visibility initiatives across our portfolio and will lead the generation of insights that drive our business. Expect to work with a host of engaged stakeholders who value your skills and consider you thought partners in driving the business! 

Data & Analytics: 

  • Collaborating with stakeholders to identify and align on business-critical metrics, their definitions, sources, and interpretations. 
  • Gathering, processing, and interpreting data from various sources while ensuring data quality and integrity. 
  • Analyzing large datasets to identify patterns, trends, and content performance to provide ongoing reports on the relevance and quality of our products. 
  • Utilizing experimentation results to iterate and fine-tune models, ensuring continuous improvement and impact on key business metrics.

Collaboration & Communication

  • Working closely with product managers, engineers, and other stakeholders to understand business requirements and translate them into actionable data science initiatives. 
  • Effectively communicating findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making.
  • Sharing and discussing findings with senior leadership to shape product strategy and investments. 

Qualifications

Required Qualifications: 

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
Preferred Qualifications: 

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results))
    • OR equivalent experience.
  • Experience with Power BI and SQL is advantageous.
Data Science IC4 - The typical base pay range for this role across Canada is CAD $108,100 - CAD $199,700 per year.

Find Additional Pay Information Here

https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Microsoft will accept applications for the role until January 1, 2025.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-28,[] +4104785465,https://ca.linkedin.com/jobs/view/web-developer-ai-ml-at-fortinet-4104785465?position=21&pageNum=0&refId=mh%2Fdv4KgJcKGPfSANSli9g%3D%3D&trackingId=m%2FMisjKYZN4SW8lLK5VEcA%3D%3D,Web Developer - AI/ML,Fortinet,"Burnaby, British Columbia, Canada","Job Description + +We are looking for a highly motivated individual who can thrive in a fast pace environment and successfully contribute to the team. The ideal candidate will have a deep understanding of web development technologies and experience integrating AI/ML models into web platforms. + +Job Responsibilities: + + +Develop and Maintain Web Applications: Build responsive and scalable web applications using modern web technologies. +Performance Optimization: Optimize web applications for maximum speed and scalability. +AI/ML Development: Develop and implement cutting-edge AI technologies and solutions that solve complex business problems and enhance our existing solutions. +Stay Updated: Keep up-to-date with the latest industry trends and technologies in web development and AI/ML. +Collaboration: Work closely with graphic designer, backend developers and quality assurance people to deliver solutions that meet the needs of our clients. + + +We are looking for: + +An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities: + + +Education: Bachelor’s or Master’s degree in Computer Science +Technical Skills: +Proficiency in front-end technologies: HTML, CSS, JavaScript/TypeScript/ES6 and frameworks such as React, VueJS or Angular. +Hands-on coding experience with Python or C++. +Expertise with generative AI, LLM models such as chatGPT3, chatGPT4 or llama3 etc. +Good experience in developing AI applications using OpenAI API systems or frameworks like langchain etc. +Familiar with prompt engineering and techniques to reduce hallucination. +Experiences in training, testing and fine-tuning AI models would be an asset. +Soft Skills: +Fast learning skills. +Strong analysis, problem-solving and troubleshooting skills. +Ability to work both independently and as part of a team. +Curious, self-drive and strong passionate to AI/ML technologies. + +The Canada base salary range for this full-time position is expected to be between $80,000 - $92,000 annually. Wage ranges are based on various factors including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate’s subject knowledge, skill level, qualifications, and experience. + +Fortinet strives to provide you and your family with a comprehensive benefits package. Benefits eligibility starts on your first day of hire and comprises of 100% company paid medical, dental, and vision coverage, including a Health Spending Account and a Personal Spending Account that gives you flexibility to spend where you need it the most. Our Employee & Family Assistance Plan (EFAP) offers you and your family access to various services like counseling, legal advice, mental health resources etc. We also provide critical illness, disability, and life insurance, as well as a Group Registered Retirement Savings Plan (RRSP) with a company match to help you save faster for retirement. We offer competitive Paid Time Off and flexible leave policies, including paid health days, to help you take care of yourself and your family members. + +All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at time of hire and annually at the Company’s discretion. + +Why Join Us: + +We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. + +Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe. + +#GD + + +Show more ","
+ + + + + +
+
+ Job Description

We are looking for a highly motivated individual who can thrive in a fast pace environment and successfully contribute to the team. The ideal candidate will have a deep understanding of web development technologies and experience integrating AI/ML models into web platforms.

Job Responsibilities:

  • Develop and Maintain Web Applications: Build responsive and scalable web applications using modern web technologies.
  • Performance Optimization: Optimize web applications for maximum speed and scalability.
  • AI/ML Development: Develop and implement cutting-edge AI technologies and solutions that solve complex business problems and enhance our existing solutions.
  • Stay Updated: Keep up-to-date with the latest industry trends and technologies in web development and AI/ML.
  • Collaboration: Work closely with graphic designer, backend developers and quality assurance people to deliver solutions that meet the needs of our clients.

We are looking for:

An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities:

  • Education: Bachelor’s or Master’s degree in Computer Science
  • Technical Skills:
    • Proficiency in front-end technologies: HTML, CSS, JavaScript/TypeScript/ES6 and frameworks such as React, VueJS or Angular.
    • Hands-on coding experience with Python or C++.
    • Expertise with generative AI, LLM models such as chatGPT3, chatGPT4 or llama3 etc.
    • Good experience in developing AI applications using OpenAI API systems or frameworks like langchain etc.
    • Familiar with prompt engineering and techniques to reduce hallucination.
    • Experiences in training, testing and fine-tuning AI models would be an asset.
  • Soft Skills:
    • Fast learning skills.
    • Strong analysis, problem-solving and troubleshooting skills.
    • Ability to work both independently and as part of a team.
    • Curious, self-drive and strong passionate to AI/ML technologies.
The Canada base salary range for this full-time position is expected to be between $80,000 - $92,000 annually. Wage ranges are based on various factors including the labour market, job type, and job level. Exact salary offers will be determined by factors such as the candidate’s subject knowledge, skill level, qualifications, and experience.

Fortinet strives to provide you and your family with a comprehensive benefits package. Benefits eligibility starts on your first day of hire and comprises of 100% company paid medical, dental, and vision coverage, including a Health Spending Account and a Personal Spending Account that gives you flexibility to spend where you need it the most. Our Employee & Family Assistance Plan (EFAP) offers you and your family access to various services like counseling, legal advice, mental health resources etc. We also provide critical illness, disability, and life insurance, as well as a Group Registered Retirement Savings Plan (RRSP) with a company match to help you save faster for retirement. We offer competitive Paid Time Off and flexible leave policies, including paid health days, to help you take care of yourself and your family members.

All roles are eligible to participate in the Fortinet equity program. Bonus eligibility is reviewed at time of hire and annually at the Company’s discretion.

Why Join Us:

We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being.

Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

#GD

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-18,[] +4052304805,https://ca.linkedin.com/jobs/view/research-intern-artificial-specialized-intelligence-at-microsoft-4052304805?position=31&pageNum=0&refId=mh%2Fdv4KgJcKGPfSANSli9g%3D%3D&trackingId=jQfYVP4hwho25GnkJOmwRA%3D%3D,Research Intern - Artificial Specialized Intelligence,Microsoft,"Vancouver, British Columbia, Canada","Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. + +As a Research Intern at Microsoft Research, you will be at the forefront of developing and implementing cutting-edge Artificial Intelligence (AI)-driven AI infrastructure. This role is ideal for candidates who are passionate about AI software and hardware development. You will collaborate with a team of world-class researchers and engineers in Vancouver, Canada, and Redmond, Washington to create the next generation of AI infrastructure that enhances the efficiency and effectiveness of AI. + +Responsibilities + +Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. + +As a Research Intern For This Position, You Will + + +Development and Implementation: Design and develop AI-driven AI infrastructure. Implement prototypes and conduct simulations to test and validate them. +Research and Analysis: Conduct thorough research on emerging trends in AI software and hardware infrastructure. +Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and data scientists, to integrate your ideas with existing and future AI projects. +Documentation and Reporting: Prepare detailed documentation of simulations, methodologies, and findings. Present results and insights to team members and stakeholders. +Innovation and Problem-Solving: Identify challenges and bottlenecks in AI infrastructure and propose innovative solutions. + + +Qualifications + +Required Qualifications + + +Currently enrolled in a bachelor's, master's, or Ph.D. program in Computer Science, Electrical Engineering, Machine learning, Mathematics, or a related field. + + +Other Requirements + + +Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship. +In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. + + +Preferred Qualifications + + +Proficient analytical and problem-solving skills and communication skills, both written and verbal. +Ability to work independently and collaboratively in a dynamic research environment. +Proficient understanding of machine learning concepts. +Research expertise with AI modeling is a plus. +Deep Knowledge of AI model design, architecture, and application. +Model training experience including continuous pretrain, fine-tune, RLHF, and benchmarking for specific area is a plus. + + +Intern - MSR- The typical base pay range for this role across Canada is CAD $8,700 - CAD $9,700 per month. + +Find Additional Pay information here: https://careers.microsoft.com/v2/global/en/canada-pay-information.html + +Microsoft accepts applications and processes offers for these roles on an ongoing basis. + +Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. +Show more ","
+ + + + + +
+
+ Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

As a Research Intern at Microsoft Research, you will be at the forefront of developing and implementing cutting-edge Artificial Intelligence (AI)-driven AI infrastructure. This role is ideal for candidates who are passionate about AI software and hardware development. You will collaborate with a team of world-class researchers and engineers in Vancouver, Canada, and Redmond, Washington to create the next generation of AI infrastructure that enhances the efficiency and effectiveness of AI.

Responsibilities

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

As a Research Intern For This Position, You Will

  • Development and Implementation: Design and develop AI-driven AI infrastructure. Implement prototypes and conduct simulations to test and validate them.
  • Research and Analysis: Conduct thorough research on emerging trends in AI software and hardware infrastructure.
  • Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and data scientists, to integrate your ideas with existing and future AI projects.
  • Documentation and Reporting: Prepare detailed documentation of simulations, methodologies, and findings. Present results and insights to team members and stakeholders.
  • Innovation and Problem-Solving: Identify challenges and bottlenecks in AI infrastructure and propose innovative solutions.

Qualifications

Required Qualifications

  • Currently enrolled in a bachelor's, master's, or Ph.D. program in Computer Science, Electrical Engineering, Machine learning, Mathematics, or a related field.

Other Requirements

  • Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
  • In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications

  • Proficient analytical and problem-solving skills and communication skills, both written and verbal.
  • Ability to work independently and collaboratively in a dynamic research environment.
  • Proficient understanding of machine learning concepts.
  • Research expertise with AI modeling is a plus.
  • Deep Knowledge of AI model design, architecture, and application.
  • Model training experience including continuous pretrain, fine-tune, RLHF, and benchmarking for specific area is a plus.

Intern - MSR- The typical base pay range for this role across Canada is CAD $8,700 - CAD $9,700 per month.

Find Additional Pay information here: https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. +
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+ +
",2024-12-21,[] +3924984553,https://ca.linkedin.com/jobs/view/staff-applied-scientist-at-wayve-3924984553?position=38&pageNum=0&refId=mh%2Fdv4KgJcKGPfSANSli9g%3D%3D&trackingId=ZCMlD9pfLxXZidCdgqqrhA%3D%3D,Staff Applied Scientist,Wayve,"Vancouver, British Columbia, Canada","At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. + +About Us + +Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. + +Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. + +At Wayve, big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. + +At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. + +Make Wayve the experience that defines your career! + +Where you will have an impact + +We are seeking an experienced researcher to be a founding member of our Vancouver team! We are prioritising someone with experience leading projects in AI applied to autonomous driving or similar robotics or decision-making domains, inclusive, but not limited to the following specific areas: + + +Foundation models for robotics or embodied AI +Model-free and model-based reinforcement learning +Offline reinforcement learning +Large language models +Planning with learned models, model predictive control and tree search +Imitation learning, inverse reinforcement learning and causal inference +Learned agent models: behavioural, oral and physical models of cars, people, and other dynamic agents + + +Challenges you will own + +You'll be working on some of the world's hardest problems, and able to attack them in new ways. You'll be a technical leader within our diverse, cross-disciplinary team, helping teach our robots how to drive safely and comfortably in complex real-world environments. This encompasses many aspects of research across perception, prediction, planning, and control, including: + + +Actively contributing to the Science’s technical leadership community, inclusive of proposing new projects, organising their work, and delivering substantial impact across Wayve. +Leveraging our large, rich, and diverse sources of real-world driving data +Architecting our models to best employ the latest advances in foundation models, transformers, world models, etc, evaluating and incorporating state-of-the-art techniques into our workflows +Investigating learning algorithms to use (e.g. reinforcement learning, behavioural cloning) +Leveraging simulation for controlled experimental insight, training data augmentation, and re-simulation +Scaling models efficiently across data, model size, and compute, while maintaining efficient deployment on the car +Collaborating with cross-functional, international teams to integrate research findings into scalable, production-level solutions +Potentially contributing to academic publications for top-tier conferences like NeurIPS, CVPR, ICRA, ICLR, CoRL etc. working in a world-class team, contributing to the scientific community and establishing Wayve as a leader in the field + + +About you + +Essential + + +Proven track record of research in one or more of the topics above demonstrated through deployed applications or publications. +Experience leading a research agenda aligned with larger organisation or company goals +Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, numpy, pandas, etc. +Experience bringing a machine learning research concept through the full ML development cycle +Excellent problem-solving skills and the ability to work independently as well as in a team environment. +Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment. + + +Desirable: + + +Experience bringing an ML research concept through to production and at scale +PhD in Computer Science, Computer Engineering, or a related field + + +What we offer you + + +The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact +Competitive compensation and benefits +A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too +A culture that is ego-free, respectful and welcoming +A hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them + + +This is a full-time role based in our office in Vancouver. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. + +We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. + +For more information visit Careers at Wayve. + +To learn more about what drives us, visit Values at Wayve + +DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory. + + +Show more ","
+ + + + + +
+
+ At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

About Us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

At Wayve, big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

Where you will have an impact

We are seeking an experienced researcher to be a founding member of our Vancouver team! We are prioritising someone with experience leading projects in AI applied to autonomous driving or similar robotics or decision-making domains, inclusive, but not limited to the following specific areas:

  • Foundation models for robotics or embodied AI
  • Model-free and model-based reinforcement learning
  • Offline reinforcement learning
  • Large language models
  • Planning with learned models, model predictive control and tree search
  • Imitation learning, inverse reinforcement learning and causal inference
  • Learned agent models: behavioural, oral and physical models of cars, people, and other dynamic agents

Challenges you will own

You'll be working on some of the world's hardest problems, and able to attack them in new ways. You'll be a technical leader within our diverse, cross-disciplinary team, helping teach our robots how to drive safely and comfortably in complex real-world environments. This encompasses many aspects of research across perception, prediction, planning, and control, including:

  • Actively contributing to the Science’s technical leadership community, inclusive of proposing new projects, organising their work, and delivering substantial impact across Wayve.
  • Leveraging our large, rich, and diverse sources of real-world driving data
  • Architecting our models to best employ the latest advances in foundation models, transformers, world models, etc, evaluating and incorporating state-of-the-art techniques into our workflows
  • Investigating learning algorithms to use (e.g. reinforcement learning, behavioural cloning)
  • Leveraging simulation for controlled experimental insight, training data augmentation, and re-simulation
  • Scaling models efficiently across data, model size, and compute, while maintaining efficient deployment on the car
  • Collaborating with cross-functional, international teams to integrate research findings into scalable, production-level solutions
  • Potentially contributing to academic publications for top-tier conferences like NeurIPS, CVPR, ICRA, ICLR, CoRL etc. working in a world-class team, contributing to the scientific community and establishing Wayve as a leader in the field

About you

Essential

  • Proven track record of research in one or more of the topics above demonstrated through deployed applications or publications.
  • Experience leading a research agenda aligned with larger organisation or company goals
  • Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, numpy, pandas, etc.
  • Experience bringing a machine learning research concept through the full ML development cycle
  • Excellent problem-solving skills and the ability to work independently as well as in a team environment.
  • Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment.

Desirable:

  • Experience bringing an ML research concept through to production and at scale
  • PhD in Computer Science, Computer Engineering, or a related field

What we offer you

  • The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
  • Competitive compensation and benefits
  • A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too
  • A culture that is ego-free, respectful and welcoming
  • A hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them

This is a full-time role based in our office in Vancouver. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-24,[] +4099357403,https://ca.linkedin.com/jobs/view/software-programmer-at-positrace-4099357403?position=39&pageNum=0&refId=mh%2Fdv4KgJcKGPfSANSli9g%3D%3D&trackingId=Oby7yiOdDDiircODgLmueg%3D%3D,software programmer,PosiTrace,"Burnaby, British Columbia, Canada","Overview + +Languages + +English + +Education + + +Bachelor's degree + + +Experience + +Experience an asset + +On site + +Work must be completed at the physical location. There is no option to work remotely. + +Benefits + +Health benefits + + +Dental plan +Health care plan +Show more ","
+ + + + + +
+
+ Overview

Languages

English

Education

  • Bachelor's degree

Experience

Experience an asset

On site

Work must be completed at the physical location. There is no option to work remotely.

Benefits

Health benefits

  • Dental plan
  • Health care plan
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-13,[] +4094631822,https://ca.linkedin.com/jobs/view/data-scientist-%E2%80%93-4-month-co-op-internship-summer-2025-at-intact-4094631822?position=40&pageNum=0&refId=mh%2Fdv4KgJcKGPfSANSli9g%3D%3D&trackingId=9UPUGNvygGupiRE1wwyfVw%3D%3D,Data Scientist – 4 Month Co-op/Internship (Summer 2025),Intact,"Vancouver, British Columbia, Canada","Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times. + +Our employee promise represents Intact’s commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us. + +About The Role + +As a Data Science Co-op/Intern, you will take on stimulating projects that offer opportunities to learn and grow as part of a multidisciplinary team with a mandate to develop and roll out innovative products. CLICK HERE to watch a video on how the #intactlab #datascience team is helping to transform the way millions of Canadians protect the things they love.to watch a video on how the #intactlab #datascience team is helping to transform the way millions of Canadians protect the things they love. As an Intern or Co-op student joining our innovation lab, you’ll be surrounded by a diverse team of experts who are transforming the insurance experience for millions of Canadians. Think machine learning, data science, AI, geomatics, climate and agility – it’s all in a day’s work at Intact Lab.  + +What You’ll Do Here + + +Transform complex data sets into meaningful insights, conclusions and recommendations  +Participate in developing completely new and innovative solutions, using machine learning, AI and statistical approaches  +Get experience working with different types of data including geospatial, telematics, text data and image data  +Be on the lookout for new approaches and opportunities to integrate them into the solutions you design  + + +What You Bring To The Table + + +Currently pursuing a Bachelor's, Master's or PhD, in artificial intelligence, data science, computer science, Earth sciences, mathematics, statistics or a related field  +Available to work with us 35 hours per week for Summer 2025 (May 5 to August 22)    +Available to work from the office 2 days a week (and 3 from home)  +Must be returning to school in Fall 2025 or Winter 2026 following your internship    +Practical experience in data science, machine Learning or deep learning   +Practical experience with Python programming language  +Knowledge of computer vision or natural language processing (NLP) (an asset)  +Understanding of data science approaches in financial services (an asset)  +Salary of the successful candidate will typically be positioned between the following range, taking into consideration a number of factors including prior experience, qualifications, anticipated contribution to role, location and internal equity: 70 200$ - 80 730$* + + +Your career starts here. Apply today! + +We can’t wait to learn more about you. When you complete your application, remember to include your resume and University/College transcript. We hire co-ops every semester (Winter, Summer and Fall)! + +We’re accepting applications now through January 24. All submissions will be reviewed during this time, as well as after the posting closes. + +Salary of the successful candidate will typically be positioned between the following range, taking into consideration a number of factors including prior experience, qualifications, anticipated contribution to role, location and internal equity: + +$70,200.00 - $105,400.00 + +What We Offer + +Our hybrid work model provides the balance between working from home and enjoying meaningful in-person interactions. + +Working Here Means You'll Be Empowered To Be And Do Your Best Every Day. Here Is Some Of What You Can Expect As a Temporary Member Of Our Team + + +Inspiring leaders and colleagues who will lift you up and help you grow +Access to tools and resources to support physical and mental health, embracing change and connecting with colleagues +A dynamic workplace learning ecosystem complete with learning journeys, interactive online content, and inspiring programs +Inclusive employee-led networks to educate, inspire, amplify voices, build relationships and provide development opportunities. +A Community Impact program, because what you care about is a part of what makes you different. And how you contribute to your community should be just as unique. + + +We are an equal opportunity employer + +At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives. + +We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community. + +As part of Intact’s commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today. + +We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request. + +If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We’ll work with you to meet your needs. + +Learn more about our recruitment process and your candidate journey here. + +If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site. +Show more ","
+ + + + + +
+
+ Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.

Our employee promise represents Intact’s commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

About The Role

As a Data Science Co-op/Intern, you will take on stimulating projects that offer opportunities to learn and grow as part of a multidisciplinary team with a mandate to develop and roll out innovative products. CLICK HERE to watch a video on how the #intactlab #datascience team is helping to transform the way millions of Canadians protect the things they love.to watch a video on how the #intactlab #datascience team is helping to transform the way millions of Canadians protect the things they love. As an Intern or Co-op student joining our innovation lab, you’ll be surrounded by a diverse team of experts who are transforming the insurance experience for millions of Canadians. Think machine learning, data science, AI, geomatics, climate and agility – it’s all in a day’s work at Intact Lab. 

What You’ll Do Here

  • Transform complex data sets into meaningful insights, conclusions and recommendations 
  • Participate in developing completely new and innovative solutions, using machine learning, AI and statistical approaches 
  • Get experience working with different types of data including geospatial, telematics, text data and image data 
  • Be on the lookout for new approaches and opportunities to integrate them into the solutions you design 

What You Bring To The Table

  • Currently pursuing a Bachelor's, Master's or PhD, in artificial intelligence, data science, computer science, Earth sciences, mathematics, statistics or a related field 
  • Available to work with us 35 hours per week for Summer 2025 (May 5 to August 22)   
  • Available to work from the office 2 days a week (and 3 from home) 
  • Must be returning to school in Fall 2025 or Winter 2026 following your internship   
  • Practical experience in data science, machine Learning or deep learning  
  • Practical experience with Python programming language 
  • Knowledge of computer vision or natural language processing (NLP) (an asset) 
  • Understanding of data science approaches in financial services (an asset) 
  • Salary of the successful candidate will typically be positioned between the following range, taking into consideration a number of factors including prior experience, qualifications, anticipated contribution to role, location and internal equity: 70 200$ - 80 730$*

Your career starts here. Apply today!

We can’t wait to learn more about you. When you complete your application, remember to include your resume and University/College transcript. We hire co-ops every semester (Winter, Summer and Fall)!

We’re accepting applications now through January 24. All submissions will be reviewed during this time, as well as after the posting closes.

Salary of the successful candidate will typically be positioned between the following range, taking into consideration a number of factors including prior experience, qualifications, anticipated contribution to role, location and internal equity:

$70,200.00 - $105,400.00

What We Offer

Our hybrid work model provides the balance between working from home and enjoying meaningful in-person interactions.

Working Here Means You'll Be Empowered To Be And Do Your Best Every Day. Here Is Some Of What You Can Expect As a Temporary Member Of Our Team

  • Inspiring leaders and colleagues who will lift you up and help you grow
  • Access to tools and resources to support physical and mental health, embracing change and connecting with colleagues
  • A dynamic workplace learning ecosystem complete with learning journeys, interactive online content, and inspiring programs
  • Inclusive employee-led networks to educate, inspire, amplify voices, build relationships and provide development opportunities.
  • A Community Impact program, because what you care about is a part of what makes you different. And how you contribute to your community should be just as unique.

We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact’s commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We’ll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-09,[] +4101290813,https://ca.linkedin.com/jobs/view/mlops-field-engineer-at-canonical-4101290813?position=54&pageNum=0&refId=mh%2Fdv4KgJcKGPfSANSli9g%3D%3D&trackingId=wWyLH%2BkI4cU790IewrCnKg%3D%3D,MLOps Field Engineer,Canonical,"Vancouver, British Columbia, Canada","Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. + +The company is founder led, profitable and growing. + +We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as the machinery which turns data into insights and executable models. + +The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It is not a software development role. + +This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple K8s clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day. + +Location: Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country. + +What your day will look like + +The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code. + + +Work across the entire Linux stack, from kernel, networking, storage, to applications +Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark +Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud) +Collect customer business requirements and advise them on Ubuntu and relevant open source applications +Grow a healthy, collaborative engineering culture in line with the company values +Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients +Liaise with product teams to give them feedback on requirements to influence roadmap +Work collaboratively with your sales team to reach our common targets +Global travel up to 30% of time for internal, external events and customer meetings + + +What we are looking for in you + + +Exceptional academic track record from both high school and university +Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path +Experience in data engineering, MLOps, or big data solutions deployment +Experience with a relevant programming language, like Python, R, or Rust. +Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation +Track record of going above-and-beyond expectations to achieve outstanding results +Demonstrated personal interest in continuous learning and development +Practical knowledge of Linux, virtualisation, containers and networking +Business-minded technology thinker and problem solver +Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP +Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics +Intermediate level Python programming skills +Passion for technology evidenced by personal projects and initiatives +The work ethic and confidence to shine alongside motivated colleagues +Professional written and spoken English with excellent presentation skills +Experience with Linux (Debian or Ubuntu preferred) +Excellent interpersonal skills, curiosity, flexibility, and accountability +A dynamic person who loves to jump in new projects and interact with people +Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation +Thoughtfulness and self-motivation +Result-oriented, with a personal drive to follow up and meet commitments +Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings + + +What you'll learn + + +Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training +Wide range of open source applications and skills +Work directly with customers in a range of different businesses +Real-life and hands-on exposure to a wide range of emerging technologies and tools + + +What we offer colleagues + +We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. + + +Distributed work environment with twice-yearly team sprints in person +Personal learning and development budget of USD 2,000 per year +Annual compensation review +Recognition rewards +Annual holiday leave +Maternity and paternity leave +Employee Assistance Programme +Opportunity to travel to new locations to meet colleagues +Priority Pass, and travel upgrades for long haul company events + + +About Canonical + +Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. + +Canonical is an equal opportunity employer + +We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. + + +Show more ","
+ + + + + +
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+ Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as the machinery which turns data into insights and executable models.

The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It is not a software development role.

This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple K8s clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day.

Location: Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country.

What your day will look like

The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code.

  • Work across the entire Linux stack, from kernel, networking, storage, to applications
  • Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark
  • Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud)
  • Collect customer business requirements and advise them on Ubuntu and relevant open source applications
  • Grow a healthy, collaborative engineering culture in line with the company values
  • Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients
  • Liaise with product teams to give them feedback on requirements to influence roadmap
  • Work collaboratively with your sales team to reach our common targets
  • Global travel up to 30% of time for internal, external events and customer meetings

What we are looking for in you

  • Exceptional academic track record from both high school and university
  • Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
  • Experience in data engineering, MLOps, or big data solutions deployment
  • Experience with a relevant programming language, like Python, R, or Rust.
  • Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
  • Track record of going above-and-beyond expectations to achieve outstanding results
  • Demonstrated personal interest in continuous learning and development
  • Practical knowledge of Linux, virtualisation, containers and networking
  • Business-minded technology thinker and problem solver
  • Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP
  • Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics
  • Intermediate level Python programming skills
  • Passion for technology evidenced by personal projects and initiatives
  • The work ethic and confidence to shine alongside motivated colleagues
  • Professional written and spoken English with excellent presentation skills
  • Experience with Linux (Debian or Ubuntu preferred)
  • Excellent interpersonal skills, curiosity, flexibility, and accountability
  • A dynamic person who loves to jump in new projects and interact with people
  • Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
  • Thoughtfulness and self-motivation
  • Result-oriented, with a personal drive to follow up and meet commitments
  • Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings

What you'll learn

  • Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training
  • Wide range of open source applications and skills
  • Work directly with customers in a range of different businesses
  • Real-life and hands-on exposure to a wide range of emerging technologies and tools

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

  • Distributed work environment with twice-yearly team sprints in person
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues
  • Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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",2024-12-17,[] +4047623031,https://ca.linkedin.com/jobs/view/coders-ai-training-remote-at-braintrust-4047623031?position=59&pageNum=0&refId=mh%2Fdv4KgJcKGPfSANSli9g%3D%3D&trackingId=M3iWB4MmEHcfJiTGE55RgQ%3D%3D,Coders - AI Training [Remote],Braintrust,"Vancouver, British Columbia, Canada","* Swift, Python, Java, Go, Verilog, Javascript, C++, or C# coding experience required + + + + +This is a great opportunity to supplement your income while looking for longer or more full-time work, all while contributing to the development of new AI models using your domain expertise! + +Our client has hired over 1,000 Braintrust talent and intends to hire hundreds more! + +Many Braintrust coders earn over $12,000 per month! + + + + +You’ll have the flexibility to work as much or as little as you choose - 20hrs/week is suggested, but not a limit. Start working in as little as 48 hours. Your final hourly rate will be chosen by Outlier AI and determined by your location. + + + + +What to expect: If qualified, you’ll be invited to complete a brief questionnaire that takes 3-5 minutes. If you successfully pass the questionnaire, you’ll be approved and able to begin work ASAP. + + + + +Required qualifications: + +Proficiency working one of the following languages: Swift, Python, Java, Go, Verilog, Javascript, C++, or C# + +Complete fluency in the English language is required. You should be able to describe code and abstract information in a clear way. + + + + +Preferred qualifications: + +Bachelor's and/or Master's degree in Computer Science or equivalent. Students are welcome. + + + + +Note: Outlier AI is partnering with Remotasks for this opportunity + +Show more ","
+ + + + + +
+
+

* Swift, Python, Java, Go, Verilog, Javascript, C++, or C# coding experience required


This is a great opportunity to supplement your income while looking for longer or more full-time work, all while contributing to the development of new AI models using your domain expertise!

Our client has hired over 1,000 Braintrust talent and intends to hire hundreds more!

Many Braintrust coders earn over $12,000 per month!


You’ll have the flexibility to work as much or as little as you choose - 20hrs/week is suggested, but not a limit. Start working in as little as 48 hours. Your final hourly rate will be chosen by Outlier AI and determined by your location.


What to expect: If qualified, you’ll be invited to complete a brief questionnaire that takes 3-5 minutes. If you successfully pass the questionnaire, you’ll be approved and able to begin work ASAP.


Required qualifications:

Proficiency working one of the following languages: Swift, Python, Java, Go, Verilog, Javascript, C++, or C#

Complete fluency in the English language is required. You should be able to describe code and abstract information in a clear way.


Preferred qualifications:

Bachelor's and/or Master's degree in Computer Science or equivalent. Students are welcome.


Note: Outlier AI is partnering with Remotasks for this opportunity

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",2024-12-27,[] +4033474996,https://ca.linkedin.com/jobs/view/senior-research-scientist-decision-modeling-at-precision-medicine-group-4033474996?position=5&pageNum=2&refId=yUG0umdQMrnF0BcJqx6ANQ%3D%3D&trackingId=%2FX85xOY57L9ddh%2BzKA3CFA%3D%3D,"Senior Research Scientist, Decision Modeling",Precision Medicine Group,"Vancouver, British Columbia, Canada","Do you consider yourself a self-starter with a real passion for projects involving innovative methods in economic modelling and evidence synthesis? Do you love collaborating, moving the ball forward and rolling up your sleeves? We are growing and seeking a Senior Research Scientist, Economic Modelling to join our team. + +Our Culture Is Similar To That Of a Start-up, But In a Well-funded Established Global Portfolio Organization. We Pride Ourselves On Being Leaders With Vision In Our Field! Below Are Some Examples Of Recent Work We Have Published As Part Of Our Efforts To Support Our Clients + + +Kuznik A, Smare C, Chen CI, et al. Cost-effectiveness of Cemiplimab versus standard of care in the United States for first-line treatment of advanced non- small cell lung cancer with programmed death-ligand 1 expression ≥50. Value Health. 2022;25(2):203–214. https://doi.org/10.1016/j.jval.2021.08.009 +Smare C, Lakhdari K, Doan J, et al. Evaluating partitioned survival and Markov decision-analytic modeling approaches for use in cost-effectiveness analysis: estimating and comparing survival outcomes. Pharmacoeconomics. 2020;38(1):97–108. https://doi.org/10.1007/s40273-019-00845-x +Cope S, Chan K, Campbell H, et al. A Comparison of Alternative Network Meta-Analysis Methods in the Presence of Nonproportional Hazards: A Case Study in First-Line Advanced or Metastatic Renal Cell Carcinoma. Value in Health. 2023;26(4):465-476. https://doi.org/10.1016/j.jval.2022.11.017 + + +We Are Looking For Someone Who + + +Demonstrates understanding of the pharmaceutical industry, medical affairs, and requirements for health technology assessment +Has sufficient understanding of relevant methods to be able to oversee model parameterization +Performs model conceptualization, programming, analysis, and validation +Can identify considerations relevant to the model development given available evidence and communicate these within deliverables (e.g., protocol and technical reports) + + +What You Can Expect Day To Day + + +Developing client-ready deliverables including protocols, models, technical reports, and slides +Contributing to short-term resourcing discussions +Managing the delivery of components of projects by collaborating with other staff members to ensure high quality outputs +Helping ensure timely delivery and financial performance of projects or project subcomponents; estimating required hours and identifying challenges early on and communicating any changes as well as viable solutions to project leads if necessary +Reviewing update slides/minutes and actions for overall study and viewed by clients as independent researcher for specific study or component(s) +Leading client calls and responding to emails, inviting input from senior team members with methodological/subject matter expertise where appropriate +Creating development plans and acting as a mentor for direct reports +Contributing to development of proposals and presentations under guidance of more senior team members with methodological/subject matter expertise +Participating in meetings related to new business, including concept ideation + + +Requisite Experience And Qualifications + + +4 to 6 years’ experience in health economics and outcomes research +Master’s degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health, or science (biology/biochemistry etc.) +Proficiency with Microsoft Office, including Visual Basic Application +Experience programming in R (preferred, not required) + + +Who We Are + +For today’s innovators of tomorrow’s cures, PRECISIONheor, part of Precision Medicine Group LLC, has the results-driven scientists, strategists and solutions our client's need to go from promises to proof, and evidence to access. We provide our clients with unified health economics and outcomes research, global pricing, access strategy and analytics, payer and physician pull-through, and data management. We have locations across the US, as well as in Vancouver, BC and London, England. + +Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits. + +Reasonable estimate of the current range + +$92,000—$128,000 CAD + +Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. + +Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. © 2020 Precision Medicine Group, LLC + +If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. + +It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process. +Show more ","
+ + + + + +
+
+ Do you consider yourself a self-starter with a real passion for projects involving innovative methods in economic modelling and evidence synthesis? Do you love collaborating, moving the ball forward and rolling up your sleeves? We are growing and seeking a Senior Research Scientist, Economic Modelling to join our team.

Our Culture Is Similar To That Of a Start-up, But In a Well-funded Established Global Portfolio Organization. We Pride Ourselves On Being Leaders With Vision In Our Field! Below Are Some Examples Of Recent Work We Have Published As Part Of Our Efforts To Support Our Clients

  • Kuznik A, Smare C, Chen CI, et al. Cost-effectiveness of Cemiplimab versus standard of care in the United States for first-line treatment of advanced non- small cell lung cancer with programmed death-ligand 1 expression ≥50. Value Health. 2022;25(2):203–214. https://doi.org/10.1016/j.jval.2021.08.009
  • Smare C, Lakhdari K, Doan J, et al. Evaluating partitioned survival and Markov decision-analytic modeling approaches for use in cost-effectiveness analysis: estimating and comparing survival outcomes. Pharmacoeconomics. 2020;38(1):97–108. https://doi.org/10.1007/s40273-019-00845-x
  • Cope S, Chan K, Campbell H, et al. A Comparison of Alternative Network Meta-Analysis Methods in the Presence of Nonproportional Hazards: A Case Study in First-Line Advanced or Metastatic Renal Cell Carcinoma. Value in Health. 2023;26(4):465-476. https://doi.org/10.1016/j.jval.2022.11.017

We Are Looking For Someone Who

  • Demonstrates understanding of the pharmaceutical industry, medical affairs, and requirements for health technology assessment
  • Has sufficient understanding of relevant methods to be able to oversee model parameterization
  • Performs model conceptualization, programming, analysis, and validation
  • Can identify considerations relevant to the model development given available evidence and communicate these within deliverables (e.g., protocol and technical reports)

What You Can Expect Day To Day

  • Developing client-ready deliverables including protocols, models, technical reports, and slides
  • Contributing to short-term resourcing discussions
  • Managing the delivery of components of projects by collaborating with other staff members to ensure high quality outputs
  • Helping ensure timely delivery and financial performance of projects or project subcomponents; estimating required hours and identifying challenges early on and communicating any changes as well as viable solutions to project leads if necessary
  • Reviewing update slides/minutes and actions for overall study and viewed by clients as independent researcher for specific study or component(s)
  • Leading client calls and responding to emails, inviting input from senior team members with methodological/subject matter expertise where appropriate
  • Creating development plans and acting as a mentor for direct reports
  • Contributing to development of proposals and presentations under guidance of more senior team members with methodological/subject matter expertise
  • Participating in meetings related to new business, including concept ideation

Requisite Experience And Qualifications

  • 4 to 6 years’ experience in health economics and outcomes research
  • Master’s degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health, or science (biology/biochemistry etc.)
  • Proficiency with Microsoft Office, including Visual Basic Application
  • Experience programming in R (preferred, not required)

Who We Are

For today’s innovators of tomorrow’s cures, PRECISIONheor, part of Precision Medicine Group LLC, has the results-driven scientists, strategists and solutions our client's need to go from promises to proof, and evidence to access. We provide our clients with unified health economics and outcomes research, global pricing, access strategy and analytics, payer and physician pull-through, and data management. We have locations across the US, as well as in Vancouver, BC and London, England.

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.

Reasonable estimate of the current range

$92,000—$128,000 CAD

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. © 2020 Precision Medicine Group, LLC

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-30,[] +4052304805,https://ca.linkedin.com/jobs/view/research-intern-artificial-specialized-intelligence-at-microsoft-4052304805?position=6&pageNum=2&refId=yUG0umdQMrnF0BcJqx6ANQ%3D%3D&trackingId=M07nZGZz8hjsUUyj5qUQAQ%3D%3D,Research Intern - Artificial Specialized Intelligence,Microsoft,"Vancouver, British Columbia, Canada","Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. + +As a Research Intern at Microsoft Research, you will be at the forefront of developing and implementing cutting-edge Artificial Intelligence (AI)-driven AI infrastructure. This role is ideal for candidates who are passionate about AI software and hardware development. You will collaborate with a team of world-class researchers and engineers in Vancouver, Canada, and Redmond, Washington to create the next generation of AI infrastructure that enhances the efficiency and effectiveness of AI. + +Responsibilities + +Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. + +As a Research Intern For This Position, You Will + + +Development and Implementation: Design and develop AI-driven AI infrastructure. Implement prototypes and conduct simulations to test and validate them. +Research and Analysis: Conduct thorough research on emerging trends in AI software and hardware infrastructure. +Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and data scientists, to integrate your ideas with existing and future AI projects. +Documentation and Reporting: Prepare detailed documentation of simulations, methodologies, and findings. Present results and insights to team members and stakeholders. +Innovation and Problem-Solving: Identify challenges and bottlenecks in AI infrastructure and propose innovative solutions. + + +Qualifications + +Required Qualifications + + +Currently enrolled in a bachelor's, master's, or Ph.D. program in Computer Science, Electrical Engineering, Machine learning, Mathematics, or a related field. + + +Other Requirements + + +Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship. +In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. + + +Preferred Qualifications + + +Proficient analytical and problem-solving skills and communication skills, both written and verbal. +Ability to work independently and collaboratively in a dynamic research environment. +Proficient understanding of machine learning concepts. +Research expertise with AI modeling is a plus. +Deep Knowledge of AI model design, architecture, and application. +Model training experience including continuous pretrain, fine-tune, RLHF, and benchmarking for specific area is a plus. + + +Intern - MSR- The typical base pay range for this role across Canada is CAD $8,700 - CAD $9,700 per month. + +Find Additional Pay information here: https://careers.microsoft.com/v2/global/en/canada-pay-information.html + +Microsoft accepts applications and processes offers for these roles on an ongoing basis. + +Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. +Show more ","
+ + + + + +
+
+ Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

As a Research Intern at Microsoft Research, you will be at the forefront of developing and implementing cutting-edge Artificial Intelligence (AI)-driven AI infrastructure. This role is ideal for candidates who are passionate about AI software and hardware development. You will collaborate with a team of world-class researchers and engineers in Vancouver, Canada, and Redmond, Washington to create the next generation of AI infrastructure that enhances the efficiency and effectiveness of AI.

Responsibilities

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

As a Research Intern For This Position, You Will

  • Development and Implementation: Design and develop AI-driven AI infrastructure. Implement prototypes and conduct simulations to test and validate them.
  • Research and Analysis: Conduct thorough research on emerging trends in AI software and hardware infrastructure.
  • Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and data scientists, to integrate your ideas with existing and future AI projects.
  • Documentation and Reporting: Prepare detailed documentation of simulations, methodologies, and findings. Present results and insights to team members and stakeholders.
  • Innovation and Problem-Solving: Identify challenges and bottlenecks in AI infrastructure and propose innovative solutions.

Qualifications

Required Qualifications

  • Currently enrolled in a bachelor's, master's, or Ph.D. program in Computer Science, Electrical Engineering, Machine learning, Mathematics, or a related field.

Other Requirements

  • Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
  • In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications

  • Proficient analytical and problem-solving skills and communication skills, both written and verbal.
  • Ability to work independently and collaboratively in a dynamic research environment.
  • Proficient understanding of machine learning concepts.
  • Research expertise with AI modeling is a plus.
  • Deep Knowledge of AI model design, architecture, and application.
  • Model training experience including continuous pretrain, fine-tune, RLHF, and benchmarking for specific area is a plus.

Intern - MSR- The typical base pay range for this role across Canada is CAD $8,700 - CAD $9,700 per month.

Find Additional Pay information here: https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Microsoft accepts applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-21,[]