From 889c5899101ea8b972f182c4abc7e504ae1ac78b Mon Sep 17 00:00:00 2001 From: github-actions Date: Mon, 16 Dec 2024 12:44:21 +0000 Subject: [PATCH] update --- data/data_analyst_20241216.csv | 1466 ++++++++++++++++++++ data/data_scientist_20241216.csv | 2187 ++++++++++++++++++++++++++++++ 2 files changed, 3653 insertions(+) create mode 100644 data/data_analyst_20241216.csv create mode 100644 data/data_scientist_20241216.csv diff --git a/data/data_analyst_20241216.csv b/data/data_analyst_20241216.csv new file mode 100644 index 0000000..927123b --- /dev/null +++ b/data/data_analyst_20241216.csv @@ -0,0 +1,1466 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +4082655153,https://www.linkedin.com/jobs/view/data-analyst-intern-summer-2025-at-schneider-electric-4082655153?position=9&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=iibvnyHWPBeeLB7KlK86hA%3D%3D,Data Analyst Intern (Summer 2025),Schneider Electric,"Foxborough (Foxboro), MA","Schneider Electric has a new opportunity for a Summer 2025 Data Analyst Intern within our GCS organization in Foxboro Ma. We are seeking a highly analytical and detail-oriented student who is looking to grow with Fortune 500 experience. This intern will be responsible for building and managing global SharePoint that provide communication and data between multiple organizations in the company . This position will need Sharepoint and ONEDRIVE skills, the ability to work with large data, and excellent communication and collaboration skills. + +What will you do? + + +Creating SESI accounts +Work with current Data Volume to move to ONEDRIVE +Determine and enable all users rights to access ONEDRIVE +Ensure security on folders within ONEDRIVE + + +What qualifications will make you successful? + + +Currently pursuing a degree in a quantitative field (e.g., Engineering, mathematics, statistics, computer science, data science) +Passionate about data analysis, data engineering and data visualization +Familiarity with Sharepoint +Analytical skills and attention to detail +Excellent communication, and collaboration skills +Local to Foxboro MA + + +Let us learn about you! Apply today. + +You must submit an online application to be considered for any position with us. This position will be posted until filled. + +Looking to make an IMPACT with your career? + +When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us. + +IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. + +We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. + +Become an IMPACT Maker with Schneider Electric - apply today! + +€36 billion global revenue + ++13% organic growth + +150 000+ employees in 100+ countries + +#1 on the Global 100 World’s most sustainable corporations + +You must submit an online application to be considered for any position with us. This position will be posted until filled. + +Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices. + +You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here + +At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here + +Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. +Show more ","
+ + + + + +
+
+ Schneider Electric has a new opportunity for a Summer 2025 Data Analyst Intern within our GCS organization in Foxboro Ma. We are seeking a highly analytical and detail-oriented student who is looking to grow with Fortune 500 experience. This intern will be responsible for building and managing global SharePoint that provide communication and data between multiple organizations in the company . This position will need Sharepoint and ONEDRIVE skills, the ability to work with large data, and excellent communication and collaboration skills.

What will you do?

  • Creating SESI accounts
  • Work with current Data Volume to move to ONEDRIVE
  • Determine and enable all users rights to access ONEDRIVE
  • Ensure security on folders within ONEDRIVE

What qualifications will make you successful?

  • Currently pursuing a degree in a quantitative field (e.g., Engineering, mathematics, statistics, computer science, data science)
  • Passionate about data analysis, data engineering and data visualization
  • Familiarity with Sharepoint
  • Analytical skills and attention to detail
  • Excellent communication, and collaboration skills
  • Local to Foxboro MA

Let us learn about you! Apply today.

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric - apply today!

€36 billion global revenue

+13% organic growth

150 000+ employees in 100+ countries

#1 on the Global 100 World’s most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices.

You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-25,[] +4098203863,https://www.linkedin.com/jobs/view/field-data-collector-boston-ma-at-intetics-4098203863?position=20&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=%2FEaQkWy2F7QcyFnqRG27gA%3D%3D,"Field Data Collector - Boston, MA",Intetics,"Boston, MA","Job type + +Short term, part-time, flexible working schedule + +Join our team as a Field Data Collector! In this role, you will conduct parking data collection surveys at various locations within the city, taking photos and entering notes using the mobile app. Your observations will be used to test and improve parking data. The work will be carried out within the city of Boston, MA, United States + +Responsibilities: + + +Collect all relevant parking data at a test site, both curbside and adjacent parking lots, and submit data through the mobile application +Take photos of all unique parking signs and any other indicators on the block/lot that relate to parking +Count unoccupied on-street parking spaces on each selected block +Notate data errors in the mobile application when observed + + + +Requirements + + +Having a recent and capable smartphone model with a data plan +Attention to the details +Experience in working with maps, geospatial data will be a plus +Show more ","
+ + + + + +
+
+ Job type

Short term, part-time, flexible working schedule

Join our team as a Field Data Collector! In this role, you will conduct parking data collection surveys at various locations within the city, taking photos and entering notes using the mobile app. Your observations will be used to test and improve parking data. The work will be carried out within the city of Boston, MA, United States

Responsibilities:

  • Collect all relevant parking data at a test site, both curbside and adjacent parking lots, and submit data through the mobile application
  • Take photos of all unique parking signs and any other indicators on the block/lot that relate to parking
  • Count unoccupied on-street parking spaces on each selected block
  • Notate data errors in the mobile application when observed


Requirements

  • Having a recent and capable smartphone model with a data plan
  • Attention to the details
  • Experience in working with maps, geospatial data will be a plus
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-11,[] +4041099172,https://www.linkedin.com/jobs/view/market-data-analyst-at-mitre-4041099172?position=25&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=dl0qx1Dq8r738sE8PdAdVQ%3D%3D,Market Data Analyst,MITRE,"Bedford, MA","Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us. + +MITRE is seeking an experienced Market Data professional to continue the growth of our Market Intelligence capability in support of a diverse set of internal and external sponsors. The Market Data Analyst role involves consolidating multiple sources of data into a cleansed, enriched, and actionable data set that can be connected and modified to address key business questions. This role requires an individual that is comfortable with gathering and synthesizing the data, as well as applying strategic thinking to the curation, enrichment and augmentation of the data to enhance future analysis. + +Target projects include cleansing and enriching large data sets following Federal contracted obligations, architecting data constructs and data dashboards, market analysis & modeling (overall market and sub-markets), creating connection between multiple data sets for end user analysis. The work also includes engaging with internal clients to scope and prioritize tasks, collecting and working with large datasets to perform data-driven analyses, and performing additional data research as necessary. This position supports other department capabilities in business analyses, strategy, and market intelligence as needed. + +This position will interact with all levels of the company, including senior level managers, technical SMEs, and analysts. The ideal candidate will have hands-on experience performing market analysis on government funding/budget, industry trends, and market participants, an entrepreneurial approach to generating and creating value and impact, and an appreciation for a nonprofit/public interest environment. + +Roles & Responsibilities: + + +Work as part of a dynamic team environment where tasks are rarely routine and often require novel approaches. +Manage multiple projects simultaneously, with limited structure and supervision. +Assist in identifying sources of information and gathering a wide range of quantitative and qualitative data to support decisions that have implications for MITRE and its government sponsors +Apply analysis skills, including exploratory data analysis to organize, analyze, and synthesize data into consumable deliverables +Assist in developing data visualization dashboards and deliverables that improve the presentation of complex data sets +Translate unstructured data and nontraditional sources of information into dashboards for business insights +Create data baselines for various market segments and businesses +Obtain, merge, reshape, clean, and evaluate the quality of datasets associated with various markets; work with developers to, where applicable, automate data pulls, manipulation, and other activities to enable efficient operations +Work with cross-functional data architecture, data science and support roles to enhance data automation and visualizations +Assist in analysis, transition, and improvement at multiple levels of data architecture design and execution + + +Basic Qualifications: + + +Typically requires a Bachelor’s degree in: Business, Data Science, Operations, Data Analytics, or related field and a minimum of 2 years of related experience in domains such as data analytics, market analytics, market modeling, data architecture; or an advanced degree with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience. +Experience with data analysis, data architecture, and visualization tools, Python, SQL, Tableau and experience with cloud data warehouses +Attention to detail and ability to manage multiple priorities +Strong written and verbal communication skills, demonstrated skills and experience in presenting analytical results both verbally and in writing +This position requires a minimum of 50% hybrid on-site + + +Preferred Qualifications: + + +Master’s in Business Administration or another related field +Understanding of U.S. government funding data sources and experience with/knowledge of the government contracting market +Experience in government contractor consulting and/or in an environment monitoring federal policy and/or appropriations +Knowledge of the federal R&D environment and the role and value of federally-funded research and development centers + + +This requisition requires the candidate to have a minimum of the following clearance(s): + +None + +This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): + +None + +Work Location Type: + +Hybrid + +MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster and Pay Transparency. + +MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email recruitinghelp@mitre.org. + +Copyright © 2024, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only. + +Benefits information may be found here +Show more ","
+ + + + + +
+
+ Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.

MITRE is seeking an experienced Market Data professional to continue the growth of our Market Intelligence capability in support of a diverse set of internal and external sponsors. The Market Data Analyst role involves consolidating multiple sources of data into a cleansed, enriched, and actionable data set that can be connected and modified to address key business questions. This role requires an individual that is comfortable with gathering and synthesizing the data, as well as applying strategic thinking to the curation, enrichment and augmentation of the data to enhance future analysis.

Target projects include cleansing and enriching large data sets following Federal contracted obligations, architecting data constructs and data dashboards, market analysis & modeling (overall market and sub-markets), creating connection between multiple data sets for end user analysis. The work also includes engaging with internal clients to scope and prioritize tasks, collecting and working with large datasets to perform data-driven analyses, and performing additional data research as necessary. This position supports other department capabilities in business analyses, strategy, and market intelligence as needed.

This position will interact with all levels of the company, including senior level managers, technical SMEs, and analysts. The ideal candidate will have hands-on experience performing market analysis on government funding/budget, industry trends, and market participants, an entrepreneurial approach to generating and creating value and impact, and an appreciation for a nonprofit/public interest environment.

Roles & Responsibilities:

  • Work as part of a dynamic team environment where tasks are rarely routine and often require novel approaches.
  • Manage multiple projects simultaneously, with limited structure and supervision.
  • Assist in identifying sources of information and gathering a wide range of quantitative and qualitative data to support decisions that have implications for MITRE and its government sponsors
  • Apply analysis skills, including exploratory data analysis to organize, analyze, and synthesize data into consumable deliverables
  • Assist in developing data visualization dashboards and deliverables that improve the presentation of complex data sets
  • Translate unstructured data and nontraditional sources of information into dashboards for business insights
  • Create data baselines for various market segments and businesses
  • Obtain, merge, reshape, clean, and evaluate the quality of datasets associated with various markets; work with developers to, where applicable, automate data pulls, manipulation, and other activities to enable efficient operations
  • Work with cross-functional data architecture, data science and support roles to enhance data automation and visualizations
  • Assist in analysis, transition, and improvement at multiple levels of data architecture design and execution

Basic Qualifications:

  • Typically requires a Bachelor’s degree in: Business, Data Science, Operations, Data Analytics, or related field and a minimum of 2 years of related experience in domains such as data analytics, market analytics, market modeling, data architecture; or an advanced degree with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.
  • Experience with data analysis, data architecture, and visualization tools, Python, SQL, Tableau and experience with cloud data warehouses
  • Attention to detail and ability to manage multiple priorities
  • Strong written and verbal communication skills, demonstrated skills and experience in presenting analytical results both verbally and in writing
  • This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

  • Master’s in Business Administration or another related field
  • Understanding of U.S. government funding data sources and experience with/knowledge of the government contracting market
  • Experience in government contractor consulting and/or in an environment monitoring federal policy and/or appropriations
  • Knowledge of the federal R&D environment and the role and value of federally-funded research and development centers

This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

None

Work Location Type:

Hybrid

MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster and Pay Transparency.

MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email recruitinghelp@mitre.org.

Copyright © 2024, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Benefits information may be found here +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-02,[] +4100049363,https://www.linkedin.com/jobs/view/business-data-analyst-intern-or-co-op-at-schneider-electric-4100049363?position=32&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=nfpekfYbnWh2qwwIFjxJvg%3D%3D,Business & Data Analyst Intern or Co-Op,Schneider Electric,"Foxborough (Foxboro), MA","Schneider Electric has a new opportunity for a Business & Data Analyst Intern or Co-Op. This position will be based in Foxboro, MA with a target start date of January 2025. We are looking for a talented and motivated individual with a robust background in market trend assessment, leveraging advanced technological methods such as statistical techniques, machine learning, and data visualization tools. The candidate will apply their expertise in market assessment, programming skills, and analytical abilities to foster data-driven decision-making and contribute to various business development initiatives. In addition to that the candidate shall perform the analysis of humongous operational data sets of the plants, identifying the gaps and suggesting the areas of improvement that can unlock great value. + +What will you do? + + +Market Research: Conduct comprehensive market analyses to support business strategies and enhance competitive positioning. +Process Improvement: Identify opportunities for optimizing industrial processes and improving efficiency based on your analyses. +Data Applications: Design, develop, and maintain data-driven applications and dashboards using tools such as Python, SQL, Power BI, and Tableau. +Analytical Techniques: Apply machine learning and statistical techniques to analyze business data and develop predictive models that inform strategic decisions. +Collaboration: Work with cross-functional teams using Agile methodologies to execute projects aimed at improving operational efficiency. +Statistical Validation: Utilize statistical analysis methods (e.g., T-tests, Chi-Square, ANOVA) to validate findings and support business recommendations. +Presentation Skills: Develop and deliver engaging presentations on data insights and visualization techniques to stakeholders. + + +Required Skills: + + +Proficiency in programming languages and tools: Python, SQL, Power BI, Tableau, and Advanced Excel. +Strong understanding of machine learning applications in business, including predictive modeling and dashboard development. +Familiarity with frameworks and methodologies such as Agile, SDLC, and various statistical analysis techniques. + + +Experience: + + +Proven experience in working with Innovation projects working in all aspects across Desirability, Viability & Feasibility. +Proven experience in identifying market opportunities and segmenting the market, including sizing market potential. +Background in machine learning or programming, demonstrating the ability to analyze data related to Industrial Automation assets and enhance operational efficiency (e.g., improving uptime, throughput, and energy efficiency). +Demonstrated project experience in developing dashboards or predictive models to drive financial insights or performance improvements. + + +Education: + + +Bachelor’s or Master’s degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field (or equivalent experience). + + +Let us learn about you! Apply today. + +You must submit an online application to be considered for any position with us. This position will be posted until filled. + +Looking to make an IMPACT with your career? + +When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us. + +IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. + +We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. + +Become an IMPACT Maker with Schneider Electric - apply today! + +€36 billion global revenue + ++13% organic growth + +150 000+ employees in 100+ countries + +#1 on the Global 100 World’s most sustainable corporations + +You must submit an online application to be considered for any position with us. This position will be posted until filled. + +Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices. + +You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here + +At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here + +Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. +Show more ","
+ + + + + +
+
+ Schneider Electric has a new opportunity for a Business & Data Analyst Intern or Co-Op. This position will be based in Foxboro, MA with a target start date of January 2025. We are looking for a talented and motivated individual with a robust background in market trend assessment, leveraging advanced technological methods such as statistical techniques, machine learning, and data visualization tools. The candidate will apply their expertise in market assessment, programming skills, and analytical abilities to foster data-driven decision-making and contribute to various business development initiatives. In addition to that the candidate shall perform the analysis of humongous operational data sets of the plants, identifying the gaps and suggesting the areas of improvement that can unlock great value.

What will you do?

  • Market Research: Conduct comprehensive market analyses to support business strategies and enhance competitive positioning.
  • Process Improvement: Identify opportunities for optimizing industrial processes and improving efficiency based on your analyses.
  • Data Applications: Design, develop, and maintain data-driven applications and dashboards using tools such as Python, SQL, Power BI, and Tableau.
  • Analytical Techniques: Apply machine learning and statistical techniques to analyze business data and develop predictive models that inform strategic decisions.
  • Collaboration: Work with cross-functional teams using Agile methodologies to execute projects aimed at improving operational efficiency.
  • Statistical Validation: Utilize statistical analysis methods (e.g., T-tests, Chi-Square, ANOVA) to validate findings and support business recommendations.
  • Presentation Skills: Develop and deliver engaging presentations on data insights and visualization techniques to stakeholders.

Required Skills:

  • Proficiency in programming languages and tools: Python, SQL, Power BI, Tableau, and Advanced Excel.
  • Strong understanding of machine learning applications in business, including predictive modeling and dashboard development.
  • Familiarity with frameworks and methodologies such as Agile, SDLC, and various statistical analysis techniques.

Experience:

  • Proven experience in working with Innovation projects working in all aspects across Desirability, Viability & Feasibility.
  • Proven experience in identifying market opportunities and segmenting the market, including sizing market potential.
  • Background in machine learning or programming, demonstrating the ability to analyze data related to Industrial Automation assets and enhance operational efficiency (e.g., improving uptime, throughput, and energy efficiency).
  • Demonstrated project experience in developing dashboards or predictive models to drive financial insights or performance improvements.

Education:

  • Bachelor’s or Master’s degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field (or equivalent experience).

Let us learn about you! Apply today.

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric - apply today!

€36 billion global revenue

+13% organic growth

150 000+ employees in 100+ countries

#1 on the Global 100 World’s most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices.

You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-13,[] +4098200648,https://www.linkedin.com/jobs/view/data-engineer-i-at-kforce-inc-4098200648?position=33&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=OaNGDYluf4FfNzD0qy%2FSvQ%3D%3D,Data Engineer I,Kforce Inc,"North Reading, MA","Responsibilities + +Kforce has an enterprise client seeking a Data Engineer I in North Reading, MA. Summary: As a Data Engineer you will contribute to the development of a data lake and data services. You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data. The Data Engineer I will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata. You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs. + +Requirements + + +3+ years of data engineering experience +2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience +Experience with data modeling, warehousing and building ETL pipelines +Experience working on and delivering end to end projects independently +Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, and Ruby +Knowledge of distributed systems as it pertains to data storage and computing + + +Top 3 must-have hard skills: + + +AWS Technologies +Python +SQL + + +Preferred Qualifications + + +Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions +Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) + + +The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. + +We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. + +Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. + +This job is not eligible for bonuses, incentives or commissions. + +Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. + +By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP. +Show more ","
+ + + + + +
+
+ Responsibilities

Kforce has an enterprise client seeking a Data Engineer I in North Reading, MA. Summary: As a Data Engineer you will contribute to the development of a data lake and data services. You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data. The Data Engineer I will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata. You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.

Requirements

  • 3+ years of data engineering experience
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience working on and delivering end to end projects independently
  • Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, and Ruby
  • Knowledge of distributed systems as it pertains to data storage and computing

Top 3 must-have hard skills:

  • AWS Technologies
  • Python
  • SQL

Preferred Qualifications

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-11,[] +4062761037,https://www.linkedin.com/jobs/view/market-data-analyst-at-brown-brothers-harriman-4062761037?position=36&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=BEGSk3vNIArpExjS1OnYiw%3D%3D,Market Data Analyst,Brown Brothers Harriman,"Boston, MA","At BBH we value diverse backgrounds, so if your experience looks a little different from what we've outlined and you think you can bring value to the role, we will still welcome your application! + +What You Can Expect At BBH + +If you join BBH you will find a collaborative environment that enables you to step outside your role to add value wherever you can. You will have direct access to clients, information and experts across all business areas around the world. BBH will provide you with opportunities to grow your expertise, take on new challenges, and reinvent yourself—without leaving the firm. We encourage a culture of inclusion that values each employee’s unique perspective. We provide a high-quality benefits program emphasizing good health, financial security, and peace of mind. Ultimately we want you to have rewarding work with the flexibility to enjoy personal and family experiences at every career stage. Our BBH Cares program offers volunteer opportunities to give back to your community and help transform the lives of others. + +At BBH, we believe no job is too big or small for any of us to handle if it helps our clients. We value passionate, committed people who enjoy collaborating with others to find new solutions to complex business challenges. We are looking for the type of person who speaks their mind, truly listens and steps outside their role to add value wherever they can. Someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution. Above all, we seek someone who takes great pride in their work and is inspired and motivated by their role in protecting and enhancing our client’s financial well-being. + +If you are looking for an entrepreneurial environment where you can learn and thrive, Brown Brothers Harriman is the right place for you. + +The Market Data Analyst role is responsible for all aspects of the Market Data environment, including analyzing and maintaining Market Data services distributed to internal and external users across the firm. + +Key Responsibilities + +Responsibilities include + + +Market Data Procurement, Vendor and Contract Management, Data Analysis, Data Sourcing/Support, Cost Containment/Expense Management, and Change Management +Build and maintain strong relations with Market Data vendors and business partners and develop an understanding of individual client needs and industry trends +Manage contract renewals/negotiations, working directly with our business partners and end users on favorable terms and pricing +Research comparative service offerings, coordinate new product offering and evaluations, and training opportunities for business partners +Act as a primary contact for all Market Data activity/issues with respect to disaster recovery +Inventory Management, Invoicing and Reporting, reconcile and process Market Data invoices for allocation and payment and distribute monthly reports to the business line management +Process a large volume of invoices on a monthly, quarterly and annual basis +Manage, support, monitor, implement and maintain the day to day process for the request of any new or existing Market Data services and applications +Keeping cost down to only necessary and intended expenses by reviewing usage, demand, service review and renegotiate fee reduction at time of contract renewals +Support of Vendor and Exchange Audits + + +Education & Experience + + +Exceptional customer and business support skills, day to day support of market data services +Strong project management +Must be organized, detail oriented, responsive and able to adapt to a changing environment +Strong MS Excel required (MS Access – Highly Preferred) +Knowledge of top Market Data vendors, ICE/IDC, Bloomberg, Thomson/Reuters +Leverage industry-wide best practices and emerging technologies/solutions to continuously enhance market data solutions +Provide effective governance for Market Data requests and usage across the firm. +Develop, manage, communicate and enforce policies and controls that ensure effective consumption and overall compliance with Market Data vendor agreements +Ability to multi-task and prioritize efficiently +Excellent communications skills both written and verbal +BS/BA degree or equivalent work experience +Must be able to provide 24/7 support as needed + + +What We Offer + + +A collaborative environment that enables you to step outside your role to add value wherever you can +Direct access to clients, information and experts across all business areas around the world +Opportunities to grow your expertise, take on new challenges, and reinvent yourself—without leaving the firm +A culture of inclusion that values each employee’s unique perspective +High-quality benefits program emphasizing good health, financial security, and peace of mind +Rewarding work with the flexibility to enjoy personal and family experiences at every career stage +Volunteer opportunities to give back to your community and help transform the lives of others + + +We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law. + +Salary Range + +$100K to $120K + +BBH’s compensation program includes base salary, discretionary bonuses, and profit-sharing. The anticipated base salary range(s) shown above are only for the indicated location(s) and may differ in other locations due to cost of living and labor considerations. Base salaries may vary based on factors such as skill, experience and qualification for the role. BBH's total rewards package recognizes your contributions with more than just a paycheck—providing you with benefits that enhance your experience at BBH from long-term savings, healthcare, and income protection to professional development opportunities and time off, our programs support your overall well-being. +Show more ","
+ + + + + +
+
+ At BBH we value diverse backgrounds, so if your experience looks a little different from what we've outlined and you think you can bring value to the role, we will still welcome your application!

What You Can Expect At BBH

If you join BBH you will find a collaborative environment that enables you to step outside your role to add value wherever you can. You will have direct access to clients, information and experts across all business areas around the world. BBH will provide you with opportunities to grow your expertise, take on new challenges, and reinvent yourself—without leaving the firm. We encourage a culture of inclusion that values each employee’s unique perspective. We provide a high-quality benefits program emphasizing good health, financial security, and peace of mind. Ultimately we want you to have rewarding work with the flexibility to enjoy personal and family experiences at every career stage. Our BBH Cares program offers volunteer opportunities to give back to your community and help transform the lives of others.

At BBH, we believe no job is too big or small for any of us to handle if it helps our clients. We value passionate, committed people who enjoy collaborating with others to find new solutions to complex business challenges. We are looking for the type of person who speaks their mind, truly listens and steps outside their role to add value wherever they can. Someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution. Above all, we seek someone who takes great pride in their work and is inspired and motivated by their role in protecting and enhancing our client’s financial well-being.

If you are looking for an entrepreneurial environment where you can learn and thrive, Brown Brothers Harriman is the right place for you.

The Market Data Analyst role is responsible for all aspects of the Market Data environment, including analyzing and maintaining Market Data services distributed to internal and external users across the firm.

Key Responsibilities

Responsibilities include

  • Market Data Procurement, Vendor and Contract Management, Data Analysis, Data Sourcing/Support, Cost Containment/Expense Management, and Change Management
  • Build and maintain strong relations with Market Data vendors and business partners and develop an understanding of individual client needs and industry trends
  • Manage contract renewals/negotiations, working directly with our business partners and end users on favorable terms and pricing
  • Research comparative service offerings, coordinate new product offering and evaluations, and training opportunities for business partners
  • Act as a primary contact for all Market Data activity/issues with respect to disaster recovery
  • Inventory Management, Invoicing and Reporting, reconcile and process Market Data invoices for allocation and payment and distribute monthly reports to the business line management
  • Process a large volume of invoices on a monthly, quarterly and annual basis
  • Manage, support, monitor, implement and maintain the day to day process for the request of any new or existing Market Data services and applications
  • Keeping cost down to only necessary and intended expenses by reviewing usage, demand, service review and renegotiate fee reduction at time of contract renewals
  • Support of Vendor and Exchange Audits

Education & Experience

  • Exceptional customer and business support skills, day to day support of market data services
  • Strong project management
  • Must be organized, detail oriented, responsive and able to adapt to a changing environment
  • Strong MS Excel required (MS Access – Highly Preferred)
  • Knowledge of top Market Data vendors, ICE/IDC, Bloomberg, Thomson/Reuters
  • Leverage industry-wide best practices and emerging technologies/solutions to continuously enhance market data solutions
  • Provide effective governance for Market Data requests and usage across the firm.
  • Develop, manage, communicate and enforce policies and controls that ensure effective consumption and overall compliance with Market Data vendor agreements
  • Ability to multi-task and prioritize efficiently
  • Excellent communications skills both written and verbal
  • BS/BA degree or equivalent work experience
  • Must be able to provide 24/7 support as needed

What We Offer

  • A collaborative environment that enables you to step outside your role to add value wherever you can
  • Direct access to clients, information and experts across all business areas around the world
  • Opportunities to grow your expertise, take on new challenges, and reinvent yourself—without leaving the firm
  • A culture of inclusion that values each employee’s unique perspective
  • High-quality benefits program emphasizing good health, financial security, and peace of mind
  • Rewarding work with the flexibility to enjoy personal and family experiences at every career stage
  • Volunteer opportunities to give back to your community and help transform the lives of others

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.

Salary Range

$100K to $120K

BBH’s compensation program includes base salary, discretionary bonuses, and profit-sharing. The anticipated base salary range(s) shown above are only for the indicated location(s) and may differ in other locations due to cost of living and labor considerations. Base salaries may vary based on factors such as skill, experience and qualification for the role. BBH's total rewards package recognizes your contributions with more than just a paycheck—providing you with benefits that enhance your experience at BBH from long-term savings, healthcare, and income protection to professional development opportunities and time off, our programs support your overall well-being. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-12,[] +4062824773,https://www.linkedin.com/jobs/view/data-analyst-intern-summer-2025-ima-financial-at-ima-financial-group-inc-4062824773?position=37&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=VI%2FgLUaJ4NY4B4POi1XXyA%3D%3D,"Data Analyst Intern, Summer 2025 - IMA Financial","IMA Financial Group, Inc.","Newton, MA","What You’ll Do + +Interns at IMA are a big deal! We understand how significant your decision on where to spend an internship is and what a positive experience can do to catapult your career. The best experiences provide true immersion in a company’s culture, access to and networking with senior leaders and industry experts, opportunities to apply what you learn through real work that drives real results, and a fun and engaging cohort to share the experience with! + +With this in mind, we’ve crafted our program to allow you to engage directly in our values driven culture through company, department, and cohort events, all while being challenged with a blend of learning programs, informative networking sessions with IMA associates, and opportunities to engage in department specific work projects that have real world impact for our clients, our business, and our associates. + +As an intern, your time will be split between a core program shared throughout the cohort and work, projects and programming designed specifically for the department you are selected to join. + +Responsibilities + +Our operations department is excited to host an intern for the upcoming 2025 summer program! This position will be located in Boston. Day to day responsibilities may include, but are not limited to: + + +Creating, editing, and completing spreadsheets used in the renewal and new business process +Maintaining IMA’s customer relationship management system +Entering data into EPIC +Perform LinkedIn Mining and searches for prospecting activities +Assists Consulting Team with preparation of client presentations, including claims review presentations, mid-year reviews, renewal, and post-renewal presentations in Excel, PowerPoint and Relayto. +Enter client benchmarking data into system and prepare reports to share with clients + + +We’re proud of the success many of our former interns have had when they’ve pursued careers as IMA associates’ post-graduation and see our internship program as a key talent pipeline. Because of this, preference is given to students closer to graduation, who demonstrate a curiosity about future employment within our industry. + +You Should Have + + +Currently pursuing an Undergraduate or Graduate Degree in a program related to one of our host departments +Students anticipated to graduate in December 2025 or Spring 2026 will be given preference +Previous work or internship experience in a professional services or similar environment may be useful, but not required +An entrepreneurial spirit with the ability to problem-solve, think critically, and provide creative solutions + + +This Job Description is not a complete statement of all duties and responsibilities comprising this position. + +Compensation & Benefits + +Being a part of IMA has its benefits. When you become part of the IMA family, you become eligible to take part in our valuable benefits and rewards package designed to benefit you, your family, and your life. Our plans are cost-effective, convenient and provide progressive ways for staying healthy, protecting loved ones, pursuing financial security and living a full and balanced life. This role is eligible for the following: + +Annual Performance Bonus, Stock Purchase, Medical Plans, Prescription Drugs, Dental, Vision, Family Assistance Program, FSA, HSA, Pre-Tax Parking Plan, 401(k), Life/AD&D, Accident, Critical Illness, Hospital Indemnity, Long Term Care, Short-term Disability, Long-term Disability, Business Travel Accident, Identity Theft, Paid Time Off, Flexible Work Options, Paid Holidays, Sabbatical, Gift Matching, Health Club Reimbursement, Personal and Professional Development. In addition to our robust benefits package, the final offer amounts will depend on a variety of factors, including the candidate’s geographic location, prior relevant experience, and their knowledge, skills, and abilities. + +Why Join IMA? + +We’ve built a reputation for putting our associates first + +What if we told you that you could be an integral part of an entrepreneurial, expanding company, develop lasting relationships, earn competitive benefits, plus claim part ownership? It’s this unique ownership business model that makes working at IMA so appealing. + +We work in teams. We sell in teams. We win and prosper as a team + +We provide support systems and resources that enable each of our associates to focus on what they do best. And as an independent company based in the Midwest, we’re big enough to write business all over the world and small enough to implement your ideas quickly. + +We are recognized nationally as a leader in our industry + + +2020-2023 Business Insurance Magazine Best Places to Work in Insurance +2023 Inc. Magazine’s Best Workplaces +2023 Denver Business Journal’s Best Places to Work +2022-2023 Connecticut Top Work Places +2021-2023 Inc. 5000’s List of Fastest Growing Companies +2019-2022 Civic 50 Colorado Honoree Recognizing 50 Most Community-Minded Companies +2022-2023 Kansas City Business Journal’s Best Places to Work +2021-2023 Charlotte Business Journal’s Best Places to Work +2021-2023 Los Angeles Business Journal’s Best Places to Work +2021-2023 The Salt Lake City Tribune Top Work Places +2021-2022 Puget Sound Business Journal’s Washington’s Best Workplaces +2021-2022 Wichita Business Journal’s Best Places to Work, #1 in extra-large category +2021 Dallas Business Journal’s Best Places to Work +2021 Alaska Journal of Commerce’s Best Workplaces in Alaska + + +This Job Description is not a complete statement of all duties and responsibilities comprising this position. + +The IMA Financial Group, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, The IMA Financial Group, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. +Show more ","
+ + + + + +
+
+ What You’ll Do

Interns at IMA are a big deal! We understand how significant your decision on where to spend an internship is and what a positive experience can do to catapult your career. The best experiences provide true immersion in a company’s culture, access to and networking with senior leaders and industry experts, opportunities to apply what you learn through real work that drives real results, and a fun and engaging cohort to share the experience with!

With this in mind, we’ve crafted our program to allow you to engage directly in our values driven culture through company, department, and cohort events, all while being challenged with a blend of learning programs, informative networking sessions with IMA associates, and opportunities to engage in department specific work projects that have real world impact for our clients, our business, and our associates.

As an intern, your time will be split between a core program shared throughout the cohort and work, projects and programming designed specifically for the department you are selected to join.

Responsibilities

Our operations department is excited to host an intern for the upcoming 2025 summer program! This position will be located in Boston. Day to day responsibilities may include, but are not limited to:

  • Creating, editing, and completing spreadsheets used in the renewal and new business process
  • Maintaining IMA’s customer relationship management system
  • Entering data into EPIC
  • Perform LinkedIn Mining and searches for prospecting activities
  • Assists Consulting Team with preparation of client presentations, including claims review presentations, mid-year reviews, renewal, and post-renewal presentations in Excel, PowerPoint and Relayto.
  • Enter client benchmarking data into system and prepare reports to share with clients

We’re proud of the success many of our former interns have had when they’ve pursued careers as IMA associates’ post-graduation and see our internship program as a key talent pipeline. Because of this, preference is given to students closer to graduation, who demonstrate a curiosity about future employment within our industry.

You Should Have

  • Currently pursuing an Undergraduate or Graduate Degree in a program related to one of our host departments
  • Students anticipated to graduate in December 2025 or Spring 2026 will be given preference
  • Previous work or internship experience in a professional services or similar environment may be useful, but not required
  • An entrepreneurial spirit with the ability to problem-solve, think critically, and provide creative solutions

This Job Description is not a complete statement of all duties and responsibilities comprising this position.

Compensation & Benefits

Being a part of IMA has its benefits. When you become part of the IMA family, you become eligible to take part in our valuable benefits and rewards package designed to benefit you, your family, and your life. Our plans are cost-effective, convenient and provide progressive ways for staying healthy, protecting loved ones, pursuing financial security and living a full and balanced life. This role is eligible for the following:

Annual Performance Bonus, Stock Purchase, Medical Plans, Prescription Drugs, Dental, Vision, Family Assistance Program, FSA, HSA, Pre-Tax Parking Plan, 401(k), Life/AD&D, Accident, Critical Illness, Hospital Indemnity, Long Term Care, Short-term Disability, Long-term Disability, Business Travel Accident, Identity Theft, Paid Time Off, Flexible Work Options, Paid Holidays, Sabbatical, Gift Matching, Health Club Reimbursement, Personal and Professional Development. In addition to our robust benefits package, the final offer amounts will depend on a variety of factors, including the candidate’s geographic location, prior relevant experience, and their knowledge, skills, and abilities.

Why Join IMA?

We’ve built a reputation for putting our associates first

What if we told you that you could be an integral part of an entrepreneurial, expanding company, develop lasting relationships, earn competitive benefits, plus claim part ownership? It’s this unique ownership business model that makes working at IMA so appealing.

We work in teams. We sell in teams. We win and prosper as a team

We provide support systems and resources that enable each of our associates to focus on what they do best. And as an independent company based in the Midwest, we’re big enough to write business all over the world and small enough to implement your ideas quickly.

We are recognized nationally as a leader in our industry

  • 2020-2023 Business Insurance Magazine Best Places to Work in Insurance
  • 2023 Inc. Magazine’s Best Workplaces
  • 2023 Denver Business Journal’s Best Places to Work
  • 2022-2023 Connecticut Top Work Places
  • 2021-2023 Inc. 5000’s List of Fastest Growing Companies
  • 2019-2022 Civic 50 Colorado Honoree Recognizing 50 Most Community-Minded Companies
  • 2022-2023 Kansas City Business Journal’s Best Places to Work
  • 2021-2023 Charlotte Business Journal’s Best Places to Work
  • 2021-2023 Los Angeles Business Journal’s Best Places to Work
  • 2021-2023 The Salt Lake City Tribune Top Work Places
  • 2021-2022 Puget Sound Business Journal’s Washington’s Best Workplaces
  • 2021-2022 Wichita Business Journal’s Best Places to Work, #1 in extra-large category
  • 2021 Dallas Business Journal’s Best Places to Work
  • 2021 Alaska Journal of Commerce’s Best Workplaces in Alaska

This Job Description is not a complete statement of all duties and responsibilities comprising this position.

The IMA Financial Group, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, The IMA Financial Group, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-14,[] +4084602675,https://www.linkedin.com/jobs/view/senior-business-intelligence-analyst-at-klaviyo-4084602675?position=41&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=KXEy5pLDs2ykz96wfTA9Nw%3D%3D,Senior Business Intelligence Analyst,Klaviyo,"Boston, MA","At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. + +Klaviyo is looking for a Business Intelligence Analyst or Senior Analyst to join our growing team. This person will be focused on analyzing data to drive business impact and understanding. They will contribute to building models and maintaining data environments. They will also be asked to perform analyses on various aspects of Klaviyo’s business and operations and present findings to key stakeholders within the company. + +How You'll Make a Difference + + +This is a cross functional role that requires framing business problems, maintaining data needed for analysis, synthesizing results and making recommendations to the executive team and other leaders in various departments. +Perform hypothesis testing and causal analyses to statistically assess relative impact and extract trends. +Create analysis frameworks to effectively answer strategic questions. +Interact with customer success, support, product, engineering, sales, and marketing functions. +Contribute to development of models around predictive recommendations, marketing attribution, financial forecasts, etc. to support the best decision making within the organization. +Typical business issues will involve framing and solving problems around areas such as acquisition channels, drivers of churn and customer retention, product engagement, program impact on customer behavior, etc. + + +Who You Are + +You are quantitative and curious. You enjoy understanding cause and effect in various business situations. You enjoy finding creative technical solutions to hard problems and are structured in your thinking. Ideal for someone who wants to launch a career in business analytics. + + +2-4 years of analytical experience with data and data modeling concepts +Engineering, data science, statistics, economics or quantitative background +Experience with statistical packages (e.g. R, Python, Stata, MATLAB, etc.). +Deep experience with SQL and relational databases (Redshift, Snowflake preferred) +Familiarity with ETL tools and frameworks (Stitch, HEVO, etc) +Very curious about what makes a business / operation function successful +Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner. Art of telling a story with data. + + +The pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees. + +Base Pay Range For US Locations: + +$112,000—$168,000 USD + +Get to Know Klaviyo + +We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. + +Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. + +IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. + +You can find our Job Applicant Privacy Notice here. + + +Show more ","
+ + + + + +
+
+ At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

Klaviyo is looking for a Business Intelligence Analyst or Senior Analyst to join our growing team. This person will be focused on analyzing data to drive business impact and understanding. They will contribute to building models and maintaining data environments. They will also be asked to perform analyses on various aspects of Klaviyo’s business and operations and present findings to key stakeholders within the company.

How You'll Make a Difference

  • This is a cross functional role that requires framing business problems, maintaining data needed for analysis, synthesizing results and making recommendations to the executive team and other leaders in various departments.
  • Perform hypothesis testing and causal analyses to statistically assess relative impact and extract trends.
  • Create analysis frameworks to effectively answer strategic questions.
  • Interact with customer success, support, product, engineering, sales, and marketing functions.
  • Contribute to development of models around predictive recommendations, marketing attribution, financial forecasts, etc. to support the best decision making within the organization.
  • Typical business issues will involve framing and solving problems around areas such as acquisition channels, drivers of churn and customer retention, product engagement, program impact on customer behavior, etc.

Who You Are

You are quantitative and curious. You enjoy understanding cause and effect in various business situations. You enjoy finding creative technical solutions to hard problems and are structured in your thinking. Ideal for someone who wants to launch a career in business analytics.

  • 2-4 years of analytical experience with data and data modeling concepts
  • Engineering, data science, statistics, economics or quantitative background
  • Experience with statistical packages (e.g. R, Python, Stata, MATLAB, etc.).
  • Deep experience with SQL and relational databases (Redshift, Snowflake preferred)
  • Familiarity with ETL tools and frameworks (Stitch, HEVO, etc)
  • Very curious about what makes a business / operation function successful
  • Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner. Art of telling a story with data.

The pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees.

Base Pay Range For US Locations:

$112,000—$168,000 USD

Get to Know Klaviyo

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.

You can find our Job Applicant Privacy Notice here.

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+ +
",2024-11-27,[] +4080046353,https://www.linkedin.com/jobs/view/bioanalytical-data-reviewer-at-gforce-life-sciences-4080046353?position=46&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=4zb1P7ufbeyUptZevwv20Q%3D%3D,Bioanalytical Data Reviewer,GForce Life Sciences,"Lexington, MA","Operational Data Steward – Lexington, MA + +Must be able to work on a W2 + + + + +Bioanalytical Data reviewer/ Quality Control - Contractor + +This position is responsible for the quality control of all nonGLP data generated in the Nonclinical Pharmacology group. + + + + +Key Responsibilities: + +• Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS. + +• Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. + +• Review and verify all data to ensure accuracy, completeness, and compliance with internal guidelines and acceptance criteria. + +• Generate reports/checklist for all QC findings, along with subsequent discussions with relevant scientists in order to resolve issues. + +• Interpret data and provide insight for in-vivo studies, ensuring alignment with study objectives and protocols. + +• Collaborate with cross-functional teams to support raw data verification. + +• Ensure data integrity and quality by adhering to internal and other regulatory guidelines. . + +• Enhance QC initiatives through the identification and implementation of best practices in data review and analysis. + + + + +Qualifications: + +• Strong analytical skills with a keen eye for detail. + +• Familiarity with analytical software’s. + +• Familiarity with regulatory guidelines and standards related to bioanalytical data review. + +• Excellent communication and collaboration skills. + + + + +Experience: + +• Prior experience in quality control of Scientific data. + +• Minimum of 1 year experience with data review/QC, preferred 3-5 years of experience. + + + + +Education: + +• A degree in a relevant scientific discipline, such as Biochemistry, Biotechnology, Pharmacology, or related fields + +Term & Start + +FT, M-F 40hr/week +Pay Rate: Up to $64K Annually +Onsite in Lexington, MA – Hybrid 3 days a week +Show more ","
+ + + + + +
+
+

Operational Data Steward – Lexington, MA

Must be able to work on a W2


Bioanalytical Data reviewer/ Quality Control - Contractor

This position is responsible for the quality control of all nonGLP data generated in the Nonclinical Pharmacology group.


Key Responsibilities:

• Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.

• Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data.

• Review and verify all data to ensure accuracy, completeness, and compliance with internal guidelines and acceptance criteria.

• Generate reports/checklist for all QC findings, along with subsequent discussions with relevant scientists in order to resolve issues.

• Interpret data and provide insight for in-vivo studies, ensuring alignment with study objectives and protocols.

• Collaborate with cross-functional teams to support raw data verification.

• Ensure data integrity and quality by adhering to internal and other regulatory guidelines. .

• Enhance QC initiatives through the identification and implementation of best practices in data review and analysis.


Qualifications:

• Strong analytical skills with a keen eye for detail.

• Familiarity with analytical software’s.

• Familiarity with regulatory guidelines and standards related to bioanalytical data review.

• Excellent communication and collaboration skills.


Experience:

• Prior experience in quality control of Scientific data.

• Minimum of 1 year experience with data review/QC, preferred 3-5 years of experience.


Education:

• A degree in a relevant scientific discipline, such as Biochemistry, Biotechnology, Pharmacology, or related fields

Term & Start

  • FT, M-F 40hr/week
  • Pay Rate: Up to $64K Annually
  • Onsite in Lexington, MA – Hybrid 3 days a week
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-21,[] +4098449527,https://www.linkedin.com/jobs/view/b2b-business-systems-analyst-at-sense-4098449527?position=47&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=wF%2BjRU6%2FaWajaE%2F0cZdijA%3D%3D,B2B Business Systems Analyst,Sense,"Cambridge, MA","Sense seeks a B2B Business Systems Analyst to join the Business Operations team. We are looking for someone who has deep experience in Salesforce CRM administration and Account Based Marketing processes and tools. To succeed, you should both love to drive cross-team conversations on process and system needs with a consultative mindset and dig into system configuration and data quality. + +Responsibilities: + + +Work with stakeholders across the organization to consultatively identify sales and marketing system needs, document and prioritize them, and work to execute over time +Design and implement whole funnel processes and reporting to support multiple sales teams with unique needs +Manage and maintain our Salesforce instance, as front-line administrator and internal system expert, including user provisioning, roles, and profiles, customizing records and layouts, maintaining data quality, as well as end-user training and education +Research, select, implement, and support new and existing integration apps between systems, including sales activity tracking, order management, and marketing systems +Support the Sales and Finance teams through deal pipeline and contracting + + + +Requirements + + +Requirements: + + +6+ years of experience in Salesforce administration and customization +Hands-on experience configuring and managing salesforce instances - roles and profiles, sandbox and deployment management, custom schemas, flow builder, and knowledge of schema best practices +Strong understanding of B2B and ABM software ecosystems and best practices +Ability to work independently on technical problems as well as collaborate with sales, marketing, and finance leadership to drive projects to completion +Excellent communication, problem-solving, and analytical skills with high attention to detail and the propensity to ask ""why."" +Strong attention to detail and desire for accurate, updated information in all our systems +Open to in-office, remote, and hybrid candidates + + + +Bonus points if you have: + + +Salesforce Certifications: Admin, Developer, etc +SQL and database experience to collaborate with our internal data team as they build cross-company reporting + + + +Benefits + + +Flexible time away policy +Paid parental leave +A wide range of difficult and interesting problems to be solved +Work with a small team of experienced entrepreneurs creating revolutionary technology +Great opportunity to gain experience at a consumer smart home startup +Competitive compensation and generous healthcare benefits +A great office in Central Square in Cambridge, MA right by the Red Line +Compensation $130k to $150k +Stock Options and 401k with up to 10k match + + + +Why Sense + +Join Sense and be part of our mission to reduce global carbon emissions by making homes smart and more efficient. Our energy data and tools demystify home energy use, empower people to take command of their usage, and enable utilities to build a cleaner and more resilient grid. + +Sense supports a diverse and inclusive workplace where we all learn from each other. We welcome candidates with backgrounds that are traditionally underrepresented in tech, and we strive to foster an engaging, respectful and supportive community where everyone feels empowered to do their best work. Sense is committed to be an equal opportunity employer. + + +Be a part of building something that will make a difference in the world +Have a big impact at a VC-backed consumer startup that's doing big things: +Best Startups in Cambridge - Tech Tribune +""One of the world's top 100 AI companies"" - VentureBeat +Clean Tech Company of the Year - New England Venture Capital Association +50 on Fire - BostInno +Top 100 - Red Herring +Best Consumer AI Technology - AI Dev World +Global Cleantech 100 +Show more ","
+ + + + + +
+
+ Sense seeks a B2B Business Systems Analyst to join the Business Operations team. We are looking for someone who has deep experience in Salesforce CRM administration and Account Based Marketing processes and tools. To succeed, you should both love to drive cross-team conversations on process and system needs with a consultative mindset and dig into system configuration and data quality.

Responsibilities:

  • Work with stakeholders across the organization to consultatively identify sales and marketing system needs, document and prioritize them, and work to execute over time
  • Design and implement whole funnel processes and reporting to support multiple sales teams with unique needs
  • Manage and maintain our Salesforce instance, as front-line administrator and internal system expert, including user provisioning, roles, and profiles, customizing records and layouts, maintaining data quality, as well as end-user training and education
  • Research, select, implement, and support new and existing integration apps between systems, including sales activity tracking, order management, and marketing systems
  • Support the Sales and Finance teams through deal pipeline and contracting


Requirements


Requirements:

  • 6+ years of experience in Salesforce administration and customization
  • Hands-on experience configuring and managing salesforce instances - roles and profiles, sandbox and deployment management, custom schemas, flow builder, and knowledge of schema best practices
  • Strong understanding of B2B and ABM software ecosystems and best practices
  • Ability to work independently on technical problems as well as collaborate with sales, marketing, and finance leadership to drive projects to completion
  • Excellent communication, problem-solving, and analytical skills with high attention to detail and the propensity to ask ""why.""
  • Strong attention to detail and desire for accurate, updated information in all our systems
  • Open to in-office, remote, and hybrid candidates


Bonus points if you have:

  • Salesforce Certifications: Admin, Developer, etc
  • SQL and database experience to collaborate with our internal data team as they build cross-company reporting


Benefits

  • Flexible time away policy
  • Paid parental leave
  • A wide range of difficult and interesting problems to be solved
  • Work with a small team of experienced entrepreneurs creating revolutionary technology
  • Great opportunity to gain experience at a consumer smart home startup
  • Competitive compensation and generous healthcare benefits
  • A great office in Central Square in Cambridge, MA right by the Red Line
  • Compensation $130k to $150k
  • Stock Options and 401k with up to 10k match


Why Sense

Join Sense and be part of our mission to reduce global carbon emissions by making homes smart and more efficient. Our energy data and tools demystify home energy use, empower people to take command of their usage, and enable utilities to build a cleaner and more resilient grid.

Sense supports a diverse and inclusive workplace where we all learn from each other. We welcome candidates with backgrounds that are traditionally underrepresented in tech, and we strive to foster an engaging, respectful and supportive community where everyone feels empowered to do their best work. Sense is committed to be an equal opportunity employer.

  • Be a part of building something that will make a difference in the world
  • Have a big impact at a VC-backed consumer startup that's doing big things:
    • Best Startups in Cambridge - Tech Tribune
    • ""One of the world's top 100 AI companies"" - VentureBeat
    • Clean Tech Company of the Year - New England Venture Capital Association
    • 50 on Fire - BostInno
    • Top 100 - Red Herring
    • Best Consumer AI Technology - AI Dev World
    • Global Cleantech 100
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-11-17,[] +4098212422,https://www.linkedin.com/jobs/view/quantitative-analyst-at-vestmark-4098212422?position=55&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=oMPxGlFtv4cvTqSEMJNctA%3D%3D,Quantitative Analyst,Vestmark,"Wakefield, MA","Vestmark has been supporting clients’ direct indexing solutions for more than a decade. As we embark on our next stage of growth and evolution, Vestmark Advisory Solutions seeks a Quantitative Analyst to work as a member of the Quantitative Portfolio Management team to implement personalized direct indexing strategies, assist Portfolio Managers in the day-to-day management of portfolios, and support analytical and operational needs of the investment management team. The role is hybrid and based out of Wakefield, MA. + +Responsibilities: + + +Work closely with and support the Portfolio Management team on the day-to-day investment management operations +Perform optimization testing and scenario analysis using optimization tools such as Northfield / MARS +Conduct ad hoc investment research by writing code in SQL and Python +Monitor index changes, corporate actions and other investment and client related data +Collaborate and communicate with trading and operations team to implement effective trading strategies +Work closely with sales consultants in reviewing tax transition optimizations, mitigate issues raised, respond to client requests +Partner with product management and technology teams to develop, automate and enhance systems and processes to improve portfolio management efficiency +Contribute to the growth and development of our core values: We Before Me, Positive Energy, Knowledge Explorer, and Own It + + +Qualifications: + + +Master’s degree in financial or quantitative discipline, CFA preferred +2-5 years of investment management experience +Knowledge of quantitative investing and portfolio management concepts including risk modeling, optimization (Northfield Open Optimizer), portfolio construction, index methodology +Experience in programming languages such as Python, R, SQL, advanced Excel +Ability to communicate effectively both written and verbally +Ability to meet tight deadlines and work under pressure with high attention to detail +Team player working with highly collaborative and cross-functional teams + + +Vestmark is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Vestmark prohibits employment discrimination on the basis of race, color, religion, gender identity, sex, sexual orientation, pregnancy, national origin, age, disability status, protected military or veteran status, and genetic information. +Show more ","
+ + + + + +
+
+ Vestmark has been supporting clients’ direct indexing solutions for more than a decade. As we embark on our next stage of growth and evolution, Vestmark Advisory Solutions seeks a Quantitative Analyst to work as a member of the Quantitative Portfolio Management team to implement personalized direct indexing strategies, assist Portfolio Managers in the day-to-day management of portfolios, and support analytical and operational needs of the investment management team. The role is hybrid and based out of Wakefield, MA.

Responsibilities:

  • Work closely with and support the Portfolio Management team on the day-to-day investment management operations
  • Perform optimization testing and scenario analysis using optimization tools such as Northfield / MARS
  • Conduct ad hoc investment research by writing code in SQL and Python
  • Monitor index changes, corporate actions and other investment and client related data
  • Collaborate and communicate with trading and operations team to implement effective trading strategies
  • Work closely with sales consultants in reviewing tax transition optimizations, mitigate issues raised, respond to client requests
  • Partner with product management and technology teams to develop, automate and enhance systems and processes to improve portfolio management efficiency
  • Contribute to the growth and development of our core values: We Before Me, Positive Energy, Knowledge Explorer, and Own It

Qualifications:

  • Master’s degree in financial or quantitative discipline, CFA preferred
  • 2-5 years of investment management experience
  • Knowledge of quantitative investing and portfolio management concepts including risk modeling, optimization (Northfield Open Optimizer), portfolio construction, index methodology
  • Experience in programming languages such as Python, R, SQL, advanced Excel
  • Ability to communicate effectively both written and verbally
  • Ability to meet tight deadlines and work under pressure with high attention to detail
  • Team player working with highly collaborative and cross-functional teams

Vestmark is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Vestmark prohibits employment discrimination on the basis of race, color, religion, gender identity, sex, sexual orientation, pregnancy, national origin, age, disability status, protected military or veteran status, and genetic information. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-11,[] +4098807540,https://www.linkedin.com/jobs/view/analyst-claims-data-science-at-liberty-mutual-insurance-4098807540?position=56&pageNum=0&refId=1%2BYZg92OJX%2FqtS43fANGAA%3D%3D&trackingId=x3bqn4mr%2FatzkvOjILlR%2FQ%3D%3D,"Analyst, Claims - Data Science",Liberty Mutual Insurance,"Boston, MA","Pay Philosophy + +The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. + +Description + +The creative problem solvers in Liberty Mutual’s Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you’ll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working. + +The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured data—data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team’s success now and into the future. + +The USRM Claims Data Science team is hiring two Analyst I, Data Science, roles as part of a broader expansion of our team. One role will focus on Property claims, and the other role will focus on Casualty claims. + +Claims data science is bursting with opportunity. Recent advances in Large Language Models, Computer Vision, and other technologies bring many previously impracticable business challenges into the realm of possibility for data scientists. Claims data science can be a key competitive advantage for Liberty Mutual in the years to come; help us build that competitive advantage! + +As an Analyst I, Data Science, you will gain experience in collaborating with business partners to develop predictive models that enable dynamic software systems and data-driven strategic decision-making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions. + +This level focuses on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in writing high-quality code and storytelling with data. + + +This role may have in-office requirements based on candidate location.** + + +Responsibilities + + +Collaborates with claims process, experience, technology, and analytics teams to help create the most accurate, caring, and efficient claims organization in the insurance industry. +Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. +Follows ML Ops best practices to create organized code repos, production-quality code, and reproducible results. +Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application. +Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. +Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. +Assists in customizing analytic solutions to specific client needs. +Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects. +Engages with the Data Science community. +Participates in cross functional working groups. + + +Qualifications + + +Solid knowledge of predictive analytics techniques and statistical diagnostics of models. +Advance knowledge of predictive toolset; expert resource for tool development. +Demonstrated ability to exchange ideas and convey complex information clearly and concisely. +Has a value-driven perspective with regard to understanding of work context and impact. +Competencies typically acquired through a Master’s degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor’s degree (scientific field of study) and 3+ years of relevant experience. + + +About Us + +**This position may have in-office requirements depending on candidate location.** + +At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession. + +Liberty Mutual has proudly been recognized as a ""Great Place to Work"" by Great Place to Work® US for the past several years. We were also selected as one of the ""100 Best Places to Work in IT"" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion + +We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits + +Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. + +Fair Chance Notices + + +California +San Francisco +Los Angeles +Philadelphia +Show more ","
+ + + + + +
+
+ Pay Philosophy

The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

Description

The creative problem solvers in Liberty Mutual’s Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you’ll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working.

The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured data—data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team’s success now and into the future.

The USRM Claims Data Science team is hiring two Analyst I, Data Science, roles as part of a broader expansion of our team. One role will focus on Property claims, and the other role will focus on Casualty claims.

Claims data science is bursting with opportunity. Recent advances in Large Language Models, Computer Vision, and other technologies bring many previously impracticable business challenges into the realm of possibility for data scientists. Claims data science can be a key competitive advantage for Liberty Mutual in the years to come; help us build that competitive advantage!

As an Analyst I, Data Science, you will gain experience in collaborating with business partners to develop predictive models that enable dynamic software systems and data-driven strategic decision-making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.

This level focuses on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in writing high-quality code and storytelling with data.

  • This role may have in-office requirements based on candidate location.**

Responsibilities

  • Collaborates with claims process, experience, technology, and analytics teams to help create the most accurate, caring, and efficient claims organization in the insurance industry.
  • Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
  • Follows ML Ops best practices to create organized code repos, production-quality code, and reproducible results.
  • Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application.
  • Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
  • Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
  • Assists in customizing analytic solutions to specific client needs.
  • Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
  • Engages with the Data Science community.
  • Participates in cross functional working groups.

Qualifications

  • Solid knowledge of predictive analytics techniques and statistical diagnostics of models.
  • Advance knowledge of predictive toolset; expert resource for tool development.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Has a value-driven perspective with regard to understanding of work context and impact.
  • Competencies typically acquired through a Master’s degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor’s degree (scientific field of study) and 3+ years of relevant experience.

About Us

**This position may have in-office requirements depending on candidate location.**

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.

Liberty Mutual has proudly been recognized as a ""Great Place to Work"" by Great Place to Work® US for the past several years. We were also selected as one of the ""100 Best Places to Work in IT"" on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

Fair Chance Notices

  • California
  • San Francisco
  • Los Angeles
  • Philadelphia
+
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-12,[] +4100049363,https://www.linkedin.com/jobs/view/business-data-analyst-intern-or-co-op-at-schneider-electric-4100049363?position=7&pageNum=2&refId=EhRpqwJvaJXDOC4qP%2FxDbQ%3D%3D&trackingId=GPDfB0%2FUiWDo3To8G1gWEQ%3D%3D,Business & Data Analyst Intern or Co-Op,Schneider Electric,"Foxborough (Foxboro), MA","Schneider Electric has a new opportunity for a Business & Data Analyst Intern or Co-Op. This position will be based in Foxboro, MA with a target start date of January 2025. We are looking for a talented and motivated individual with a robust background in market trend assessment, leveraging advanced technological methods such as statistical techniques, machine learning, and data visualization tools. The candidate will apply their expertise in market assessment, programming skills, and analytical abilities to foster data-driven decision-making and contribute to various business development initiatives. In addition to that the candidate shall perform the analysis of humongous operational data sets of the plants, identifying the gaps and suggesting the areas of improvement that can unlock great value. + +What will you do? + + +Market Research: Conduct comprehensive market analyses to support business strategies and enhance competitive positioning. +Process Improvement: Identify opportunities for optimizing industrial processes and improving efficiency based on your analyses. +Data Applications: Design, develop, and maintain data-driven applications and dashboards using tools such as Python, SQL, Power BI, and Tableau. +Analytical Techniques: Apply machine learning and statistical techniques to analyze business data and develop predictive models that inform strategic decisions. +Collaboration: Work with cross-functional teams using Agile methodologies to execute projects aimed at improving operational efficiency. +Statistical Validation: Utilize statistical analysis methods (e.g., T-tests, Chi-Square, ANOVA) to validate findings and support business recommendations. +Presentation Skills: Develop and deliver engaging presentations on data insights and visualization techniques to stakeholders. + + +Required Skills: + + +Proficiency in programming languages and tools: Python, SQL, Power BI, Tableau, and Advanced Excel. +Strong understanding of machine learning applications in business, including predictive modeling and dashboard development. +Familiarity with frameworks and methodologies such as Agile, SDLC, and various statistical analysis techniques. + + +Experience: + + +Proven experience in working with Innovation projects working in all aspects across Desirability, Viability & Feasibility. +Proven experience in identifying market opportunities and segmenting the market, including sizing market potential. +Background in machine learning or programming, demonstrating the ability to analyze data related to Industrial Automation assets and enhance operational efficiency (e.g., improving uptime, throughput, and energy efficiency). +Demonstrated project experience in developing dashboards or predictive models to drive financial insights or performance improvements. + + +Education: + + +Bachelor’s or Master’s degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field (or equivalent experience). + + +Let us learn about you! Apply today. + +You must submit an online application to be considered for any position with us. This position will be posted until filled. + +Looking to make an IMPACT with your career? + +When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us. + +IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world. + +We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one. + +Become an IMPACT Maker with Schneider Electric - apply today! + +€36 billion global revenue + ++13% organic growth + +150 000+ employees in 100+ countries + +#1 on the Global 100 World’s most sustainable corporations + +You must submit an online application to be considered for any position with us. This position will be posted until filled. + +Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices. + +You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here + +At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here + +Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. +Show more ","
+ + + + + +
+
+ Schneider Electric has a new opportunity for a Business & Data Analyst Intern or Co-Op. This position will be based in Foxboro, MA with a target start date of January 2025. We are looking for a talented and motivated individual with a robust background in market trend assessment, leveraging advanced technological methods such as statistical techniques, machine learning, and data visualization tools. The candidate will apply their expertise in market assessment, programming skills, and analytical abilities to foster data-driven decision-making and contribute to various business development initiatives. In addition to that the candidate shall perform the analysis of humongous operational data sets of the plants, identifying the gaps and suggesting the areas of improvement that can unlock great value.

What will you do?

  • Market Research: Conduct comprehensive market analyses to support business strategies and enhance competitive positioning.
  • Process Improvement: Identify opportunities for optimizing industrial processes and improving efficiency based on your analyses.
  • Data Applications: Design, develop, and maintain data-driven applications and dashboards using tools such as Python, SQL, Power BI, and Tableau.
  • Analytical Techniques: Apply machine learning and statistical techniques to analyze business data and develop predictive models that inform strategic decisions.
  • Collaboration: Work with cross-functional teams using Agile methodologies to execute projects aimed at improving operational efficiency.
  • Statistical Validation: Utilize statistical analysis methods (e.g., T-tests, Chi-Square, ANOVA) to validate findings and support business recommendations.
  • Presentation Skills: Develop and deliver engaging presentations on data insights and visualization techniques to stakeholders.

Required Skills:

  • Proficiency in programming languages and tools: Python, SQL, Power BI, Tableau, and Advanced Excel.
  • Strong understanding of machine learning applications in business, including predictive modeling and dashboard development.
  • Familiarity with frameworks and methodologies such as Agile, SDLC, and various statistical analysis techniques.

Experience:

  • Proven experience in working with Innovation projects working in all aspects across Desirability, Viability & Feasibility.
  • Proven experience in identifying market opportunities and segmenting the market, including sizing market potential.
  • Background in machine learning or programming, demonstrating the ability to analyze data related to Industrial Automation assets and enhance operational efficiency (e.g., improving uptime, throughput, and energy efficiency).
  • Demonstrated project experience in developing dashboards or predictive models to drive financial insights or performance improvements.

Education:

  • Bachelor’s or Master’s degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field (or equivalent experience).

Let us learn about you! Apply today.

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric - apply today!

€36 billion global revenue

+13% organic growth

150 000+ employees in 100+ countries

#1 on the Global 100 World’s most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices.

You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-13,[] +4098200648,https://www.linkedin.com/jobs/view/data-engineer-i-at-kforce-inc-4098200648?position=8&pageNum=2&refId=EhRpqwJvaJXDOC4qP%2FxDbQ%3D%3D&trackingId=CsgMTsCi5rP1W1r%2BtDXdlg%3D%3D,Data Engineer I,Kforce Inc,"North Reading, MA","Responsibilities + +Kforce has an enterprise client seeking a Data Engineer I in North Reading, MA. Summary: As a Data Engineer you will contribute to the development of a data lake and data services. You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data. The Data Engineer I will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata. You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs. + +Requirements + + +3+ years of data engineering experience +2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience +Experience with data modeling, warehousing and building ETL pipelines +Experience working on and delivering end to end projects independently +Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, and Ruby +Knowledge of distributed systems as it pertains to data storage and computing + + +Top 3 must-have hard skills: + + +AWS Technologies +Python +SQL + + +Preferred Qualifications + + +Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions +Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) + + +The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. + +We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. + +Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. + +This job is not eligible for bonuses, incentives or commissions. + +Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. + +By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP. +Show more ","
+ + + + + +
+
+ Responsibilities

Kforce has an enterprise client seeking a Data Engineer I in North Reading, MA. Summary: As a Data Engineer you will contribute to the development of a data lake and data services. You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data. The Data Engineer I will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata. You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.

Requirements

  • 3+ years of data engineering experience
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc. experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience working on and delivering end to end projects independently
  • Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, and Ruby
  • Knowledge of distributed systems as it pertains to data storage and computing

Top 3 must-have hard skills:

  • AWS Technologies
  • Python
  • SQL

Preferred Qualifications

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP. +
+ + + + + + + + + + + + + + + + + + +
+ +
",2024-12-11,[] diff --git a/data/data_scientist_20241216.csv b/data/data_scientist_20241216.csv new file mode 100644 index 0000000..22560f9 --- /dev/null +++ b/data/data_scientist_20241216.csv @@ -0,0 +1,2187 @@ +Job_ID,Link,Title,Company,Place,Description,HTML,Date,Skills +4095471776,https://www.linkedin.com/jobs/view/data-scientist-i-revenue-at-tinder-4095471776?position=3&pageNum=0&refId=odvFhSh7TRKsvqn1Vusdog%3D%3D&trackingId=KENai4Y%2BnYVzs6PRssAHlQ%3D%3D,Data Scientist I (Revenue),Tinder,"Palo Alto, CA","Our Mission + +Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™"" + +Our Values + +One Team, One Dream + +We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. + +Own It + +We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. + +Never Stop Learning + +We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. + +Spark Solutions + +We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. + +Embrace Our Differences + +We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. + + + + +The Analytics team powers data-informed decision-making at Tinder. We are seeking a passionate and motivated Data Scientist to join our growing Analytics team.  + +In this role you will partner with Revenue, Product, Marketing, Engineering, and Finance to accelerate improvements to our platform. The ideal candidate is both passionate about the intersection of online dating and economics and comfortable digging deep into financial data to uncover trends and patterns. This role will operate under the Revenue branch of Tinder and will focus on data related to finance, pricing, and paid-feature conversion. + + + + +What You'll Do: +Digest large, complex transaction datasets into distilled analytics that help the business identify new opportunities.  +Quickly investigate KPI movements in an evolving global dataset, disentangling correlation and causation to communicate resolutions efficiently.  +Collaborate closely with strategy and finance teams to study worldwide online dating trends and provide detailed market research to guide pricing decisions +Drive ownership of your own projects while balancing speed of execution and business value +Be an authority on where and how to organize our data and readily share insights with data scientists, product managers, and finance leaders, as well as at a company level +Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting + + + + +About You: +Bachelor’s degree in a quantitative field, Master’s degree, or PhD with an economics, statistics, or similar quantitative field preferred. 1-2 years of professional working experience in Data Science and/or analytics preferred. +New graduates are encouraged to apply +Skilled in SQL and a deep understanding of statistical modeling, causal inference, and experimentation +Experience with Python/R and visualization tools like Tableau or Mode is a plus +Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data +Eagerness to identify and explore new product opportunities, member insights, and potential improvements to our data infrastructure +Curiosity of how things work from a business, member, and technical perspective.A desire to collaborate and work with other data scientists and cross-functional teams +Experience working on data related to finance and/or subscription business models is a plus + + + + +As part of the team, you'll enjoy: +Unlimited PTO (with no waiting period), 10 annual Wellness Days, Time off to volunteer,r and charitable donations matched up to $15,000 annually.  +Comprehensive health, vision, and dental coverage +100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) +100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation +Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development +Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy +Free subscription to Tinder Gold + + + + + + + +Commitment to Inclusion + +At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei + +If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. + +#Tinder + + + +Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations, may influence the base pay offered. This salary range reflects a position based in San Francisco and Palo Alto. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. + +Show more ","
+ + + + + +
+
+

Our Mission

Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™""

Our Values

One Team, One Dream

We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.

Own It

We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.

Never Stop Learning

We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.

Spark Solutions

We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.

Embrace Our Differences

We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.


The Analytics team powers data-informed decision-making at Tinder. We are seeking a passionate and motivated Data Scientist to join our growing Analytics team. 

In this role you will partner with Revenue, Product, Marketing, Engineering, and Finance to accelerate improvements to our platform. The ideal candidate is both passionate about the intersection of online dating and economics and comfortable digging deep into financial data to uncover trends and patterns. This role will operate under the Revenue branch of Tinder and will focus on data related to finance, pricing, and paid-feature conversion.


What You'll Do:
  • Digest large, complex transaction datasets into distilled analytics that help the business identify new opportunities. 
  • Quickly investigate KPI movements in an evolving global dataset, disentangling correlation and causation to communicate resolutions efficiently. 
  • Collaborate closely with strategy and finance teams to study worldwide online dating trends and provide detailed market research to guide pricing decisions
  • Drive ownership of your own projects while balancing speed of execution and business value
  • Be an authority on where and how to organize our data and readily share insights with data scientists, product managers, and finance leaders, as well as at a company level
  • Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting


    • About You:
  • Bachelor’s degree in a quantitative field, Master’s degree, or PhD with an economics, statistics, or similar quantitative field preferred. 1-2 years of professional working experience in Data Science and/or analytics preferred.
  • New graduates are encouraged to apply
  • Skilled in SQL and a deep understanding of statistical modeling, causal inference, and experimentation
  • Experience with Python/R and visualization tools like Tableau or Mode is a plus
  • Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data
  • Eagerness to identify and explore new product opportunities, member insights, and potential improvements to our data infrastructure
  • Curiosity of how things work from a business, member, and technical perspective.A desire to collaborate and work with other data scientists and cross-functional teams
  • Experience working on data related to finance and/or subscription business models is a plus


    • As part of the team, you'll enjoy:
  • Unlimited PTO (with no waiting period), 10 annual Wellness Days, Time off to volunteer,r and charitable donations matched up to $15,000 annually. 
  • Comprehensive health, vision, and dental coverage
  • 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
  • 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
  • Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development
  • Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
  • Free subscription to Tinder Gold



    • Commitment to Inclusion

    At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei

    If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.

    #Tinder



    Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations, may influence the base pay offered. This salary range reflects a position based in San Francisco and Palo Alto. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-10,[] +4084401695,https://www.linkedin.com/jobs/view/data-scientist-product-analytics-at-meta-4084401695?position=8&pageNum=0&refId=odvFhSh7TRKsvqn1Vusdog%3D%3D&trackingId=LwRlss6Mqs1R%2FVQYOqGXvg%3D%3D,"Data Scientist, Product Analytics",Meta,"New York, NY","As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. + +Data Scientist, Product Analytics Responsibilities: + + +Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches +Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses +Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends +Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations +Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions + + +Minimum Qualifications: + + +Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent +2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) +2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] + + +Preferred Qualifications: + + +Master's or Ph.D. Degree in a quantitative field + + +About Meta: + +Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. + +Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. + +Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. + +$114,000/year to $171,000/year + bonus + equity + benefits + +Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +Show more ","
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    + As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

    Data Scientist, Product Analytics Responsibilities:

    • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
    • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
    • Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
    • Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
    • Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

    Minimum Qualifications:

    • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
    • 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
    • 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]

    Preferred Qualifications:

    • Master's or Ph.D. Degree in a quantitative field

    About Meta:

    Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

    Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

    Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

    $114,000/year to $171,000/year + bonus + equity + benefits

    Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. +
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    ",2024-11-28,[] +4088903340,https://www.linkedin.com/jobs/view/data-scientist-ii-at-grubhub-4088903340?position=24&pageNum=0&refId=odvFhSh7TRKsvqn1Vusdog%3D%3D&trackingId=ekafZSMsbIoT7DjJCy6zwA%3D%3D,Data Scientist II,Grubhub,New York City Metropolitan Area,"About The Opportunity + +We’re all about connecting hungry diners with our network of over 300,000 restaurants nationwide. Innovative technology, user-friendly platforms and streamlined delivery capabilities set us apart and make us an industry leader in the world of online food ordering. When you join our team, you become part of a community that works together to innovate, solve problems, grow, work hard and have a ton of fun in the process! + + + + +Why Work For Us + +Grubhub is a place where authentically fun culture meets innovation and teamwork. We believe in empowering people and opening doors for new opportunities. If you’re looking for a place that values strong relationships, embraces diverse ideas–all while having fun together–Grubhub is the place for you! + + + + +Grubhub is looking for an innately curious, business-minded, results-oriented Machine Learning Data Scientist to work in our Discovery and Foundation team. We are focused on providing high quality recommendations to diners who are exploring restaurants in their area as well as those who are searching for something specific. We also build models and features that characterize our merchant and menu item corpus. As a member of this highly collaborative team you will work alongside other data scientists and engineers to help deliver new run time models and services, and grow your skill set. You will be responsible for validating performance of models, proposing new algorithmic approaches to improve our current systems, and helping to identify creative solutions to bridge state of the art information retrieval advanced and engineering requirements. Additionally you will be maintaining technology best practices and guiding the evolution of responsive systems. Some specific responsibilities include but are not limited to creating documentation accessible to both technical and non-technical audiences, brainstorming with collaborating data scientists, creating and maintaining automated training jobs, creating metrics dashboards and alerts. + + + + +Our team practices end to end project ownership and our work focuses heavily on personalized recommendation and classification from content and clickstream. Deep neural networks, transfer learning from pretrained large scale models, classic regressions, fine tuning, and large language models all have a place in our daily lexicon. + + + + +The Impact You will Make: + +Help the business gain insights from recommendations in search and discovery with regard to short and long term metrics. +Drive orders and customer returns via enticing and relevant recommendations for searches +Assess new algorithms and business policies. +Collaborate with Product and Engineering teams to understand new product ideas, assess risks and ensure that the necessary data is available. +Discover new and innovative ways to refine what we're doing and question existing assumptions. +Relentlessly analyze and improve the performance of our business. + + + + +What You Bring to the Table: + +MS in quantitative discipline (Computer Science, Math, Physics, Engineering, Statistics or other technical field etc) or equivalent experience. +2+ years experience with data analytics, machine learning, or related field. +2+ years experience in applied predictive modeling with TensorFlow or PyTorch. +2+ years experience in information retrieval or recommendation systems. +Experience with language models, especially on imperfect grammars. +Some experience in data engineering and feature preparation in pyspark, hive,and the python data stack. +Comfort communicating performance metrics, model details, and features specifications to technical audiences. +Deep interest in self-motivated continuous learning. + +The base salary range for this position is below: + +New York: $141,000 - $211,000 base salary range + + + + +Grubhub uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience. + + + + +As a matter of company policy, Grubhub does not sponsor applicants for employment visa status for this role. + + + + +And Of Course, Perks! + +Flexible PTO. Grubhub employees enjoy a generous amount of time to recharge. +Health and Wellness. Excellent medical, dental and vision benefits, 401k matching, employee network groups and paid parental leave are just a few of our programs to support your overall well-being. +Free Meals. Our employees get a weekly Grubhub credit to enjoy. +Social Impact. At Grubhub we believe in giving back through programs like the Grubhub Community Fund. Employees are also given paid time off each year to support the causes that are important to them. + + + + +Grubhub is an equal opportunity employer. We welcome diversity and encourage a workplace that is just as diverse as the customers we serve. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you’re applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an email to TalentAcquisition@grubhub.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. + + + + +Outreach will only come from verified grubhub recruiters with grubhub.com email addresses + + + + +If you are a resident of the State of California and would like a copy of our CA privacy notice, please email privacy@grubhub.com. + +Show more ","
    + + + + + +
    +
    +

    About The Opportunity

    We’re all about connecting hungry diners with our network of over 300,000 restaurants nationwide. Innovative technology, user-friendly platforms and streamlined delivery capabilities set us apart and make us an industry leader in the world of online food ordering. When you join our team, you become part of a community that works together to innovate, solve problems, grow, work hard and have a ton of fun in the process!


    Why Work For Us

    Grubhub is a place where authentically fun culture meets innovation and teamwork. We believe in empowering people and opening doors for new opportunities. If you’re looking for a place that values strong relationships, embraces diverse ideas–all while having fun together–Grubhub is the place for you!


    Grubhub is looking for an innately curious, business-minded, results-oriented Machine Learning Data Scientist to work in our Discovery and Foundation team. We are focused on providing high quality recommendations to diners who are exploring restaurants in their area as well as those who are searching for something specific. We also build models and features that characterize our merchant and menu item corpus. As a member of this highly collaborative team you will work alongside other data scientists and engineers to help deliver new run time models and services, and grow your skill set. You will be responsible for validating performance of models, proposing new algorithmic approaches to improve our current systems, and helping to identify creative solutions to bridge state of the art information retrieval advanced and engineering requirements. Additionally you will be maintaining technology best practices and guiding the evolution of responsive systems. Some specific responsibilities include but are not limited to creating documentation accessible to both technical and non-technical audiences, brainstorming with collaborating data scientists, creating and maintaining automated training jobs, creating metrics dashboards and alerts.


    Our team practices end to end project ownership and our work focuses heavily on personalized recommendation and classification from content and clickstream. Deep neural networks, transfer learning from pretrained large scale models, classic regressions, fine tuning, and large language models all have a place in our daily lexicon.


    The Impact You will Make:

    • Help the business gain insights from recommendations in search and discovery with regard to short and long term metrics.
    • Drive orders and customer returns via enticing and relevant recommendations for searches
    • Assess new algorithms and business policies.
    • Collaborate with Product and Engineering teams to understand new product ideas, assess risks and ensure that the necessary data is available.
    • Discover new and innovative ways to refine what we're doing and question existing assumptions.
    • Relentlessly analyze and improve the performance of our business.


    What You Bring to the Table:

    • MS in quantitative discipline (Computer Science, Math, Physics, Engineering, Statistics or other technical field etc) or equivalent experience.
    • 2+ years experience with data analytics, machine learning, or related field.
    • 2+ years experience in applied predictive modeling with TensorFlow or PyTorch.
    • 2+ years experience in information retrieval or recommendation systems.
    • Experience with language models, especially on imperfect grammars.
    • Some experience in data engineering and feature preparation in pyspark, hive,and the python data stack.
    • Comfort communicating performance metrics, model details, and features specifications to technical audiences.
    • Deep interest in self-motivated continuous learning.

    The base salary range for this position is below:

    New York: $141,000 - $211,000 base salary range


    Grubhub uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.


    As a matter of company policy, Grubhub does not sponsor applicants for employment visa status for this role.


    And Of Course, Perks!

    • Flexible PTO. Grubhub employees enjoy a generous amount of time to recharge.
    • Health and Wellness. Excellent medical, dental and vision benefits, 401k matching, employee network groups and paid parental leave are just a few of our programs to support your overall well-being.
    • Free Meals. Our employees get a weekly Grubhub credit to enjoy.
    • Social Impact. At Grubhub we believe in giving back through programs like the Grubhub Community Fund. Employees are also given paid time off each year to support the causes that are important to them.


    Grubhub is an equal opportunity employer. We welcome diversity and encourage a workplace that is just as diverse as the customers we serve. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you’re applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an email to TalentAcquisition@grubhub.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.


    Outreach will only come from verified grubhub recruiters with grubhub.com email addresses


    If you are a resident of the State of California and would like a copy of our CA privacy notice, please email privacy@grubhub.com.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-04,[] +4096276045,https://ca.linkedin.com/jobs/view/ai-ml-data-scientist-at-acuity-insights-4096276045?position=28&pageNum=0&refId=odvFhSh7TRKsvqn1Vusdog%3D%3D&trackingId=jiRuDwc770blGY99XCH%2BfQ%3D%3D,AI/ML Data Scientist,Acuity Insights,"Calgary, Alberta, 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! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-13,[] +4097667544,https://www.linkedin.com/jobs/view/applied-scientist-machine-learning-engineer-software-engineer-machine-learning-at-veracity-software-inc-4097667544?position=31&pageNum=0&refId=odvFhSh7TRKsvqn1Vusdog%3D%3D&trackingId=3vyAMHLx55b7ZPWwTpk00g%3D%3D,"Applied Scientist / Machine Learning Engineer, Software Engineer (Machine Learning)",Veracity Software Inc,"San Jose, CA","Applied Scientist | 2 Openings. + +San Jose, CA & Seattle, WA + +Flexible work from home days + +We are looking for an engineer to spearhead our Brand Ads forecasting initiatives. You will be leading a group of talented engineers in developing world-class advertising products and technologies. Your work will have a direct impact on billions of dollars in revenue and shape the industry's landscape through complex technical challenges in infrastructure, algorithms, and machine learning. + +Key Responsibilities: + + +Applying statistical or machine learning knowledge to solve forecasting problems used by advertisers to make ad spending decisions. +Translating business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data. +Retrieving, synthesizing, and presenting data in a format that is immediately useful to answering specific questions or improving system performance. +Applying statistical or machine learning knowledge to solve specific business problems. + + +Minimum Qualifications: + + +Deep domain knowledge in the field of forecasting +Strong technical capabilities in data or Client + + +Preferred Qualifications: + + +Experience in ads bidding, ranking, and retrieval, ads forecasting is a strong plus +Expertise in large-scale ads delivery, recommendation, or search is highly desirable +Proven track record of working closely with product and product marketing teams is a plus +Background as a data scientist or applied scientist working in forecasting + + +Skills And Certifications + +Machine Learning + +Algorithms + +Deep Learning +Show more ","
    + + + + + +
    +
    + Applied Scientist | 2 Openings.

     San Jose, CA & Seattle, WA

     Flexible work from home days

    We are looking for an engineer to spearhead our Brand Ads forecasting initiatives. You will be leading a group of talented engineers in developing world-class advertising products and technologies. Your work will have a direct impact on billions of dollars in revenue and shape the industry's landscape through complex technical challenges in infrastructure, algorithms, and machine learning.

    Key Responsibilities:

    • Applying statistical or machine learning knowledge to solve forecasting problems used by advertisers to make ad spending decisions.
    • Translating business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
    • Retrieving, synthesizing, and presenting data in a format that is immediately useful to answering specific questions or improving system performance.
    • Applying statistical or machine learning knowledge to solve specific business problems.

    Minimum Qualifications:

    • Deep domain knowledge in the field of forecasting
    • Strong technical capabilities in data or Client

    Preferred Qualifications:

    • Experience in ads bidding, ranking, and retrieval, ads forecasting is a strong plus
    • Expertise in large-scale ads delivery, recommendation, or search is highly desirable
    • Proven track record of working closely with product and product marketing teams is a plus
    • Background as a data scientist or applied scientist working in forecasting

    Skills And Certifications

     Machine Learning

     Algorithms

    Deep Learning +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-11-18,[] +4099351704,https://www.linkedin.com/jobs/view/data-scientist-at-antal-international-4099351704?position=32&pageNum=0&refId=odvFhSh7TRKsvqn1Vusdog%3D%3D&trackingId=OHKR2gEj5bzzkAOgOqI%2BwA%3D%3D,Data Scientist,Antal International,"Mountain View, CA","Our client is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. + +Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. We continue to be the leading content services provider to research and education publishers. + +Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. + +With a client-base scoping 30 countries worldwide, multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. + +Job Title: Data Science + +Location: Mountain View, CA (5 days onsite) + +Type: FTE + +Job Description: + +1. 3+ Years of Banking / Payments analytics experience in a consulting set-up. + +2. Strong experience of developing and deploying Predictive/ML solutions. + +3. Proficiency in SQL, Tableau, Python. + +4. Strong experience in Big Data Technologies like Hadoop, Spark or similar platforms. + +5. Excellent communication skills and strong stakeholder management experience. + +6. Strong problem-solving skills. + +Show more ","
    + + + + + +
    +
    +

    Our client is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

    Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. We continue to be the leading content services provider to research and education publishers.

    Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

    With a client-base scoping 30 countries worldwide, multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

    Job Title: Data Science

    Location: Mountain View, CA (5 days onsite)

    Type: FTE

    Job Description:

    1. 3+ Years of Banking / Payments analytics experience in a consulting set-up.

    2. Strong experience of developing and deploying Predictive/ML solutions.

    3. Proficiency in SQL, Tableau, Python.

    4. Strong experience in Big Data Technologies like Hadoop, Spark or similar platforms.

    5. Excellent communication skills and strong stakeholder management experience.

    6. Strong problem-solving skills.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-13,[] +4093872840,https://www.linkedin.com/jobs/view/data-scientist-at-neumarker-inc-4093872840?position=37&pageNum=0&refId=odvFhSh7TRKsvqn1Vusdog%3D%3D&trackingId=Hek4HWH65OGvbbc07if6cA%3D%3D,Data Scientist,Neumarker Inc.,"Palo Alto, CA","Company Description + +Neumarker Inc., located in the San Francisco Bay Area, is dedicated to revolutionizing the treatment of CNS disorders through its cutting-edge brain biomarker discovery platform powered by AI. By identifying predictive brain biomarkers, Neumarker personalizes treatment for each patient and accelerates drug development through efficient clinical trials. The company collaborates with drug developers, clinicians, and academic researchers to advance precision neuromedicine. + + + + +Role Description + +This is a full-time hybrid role for a Data Scientist and AI developer in Neurophysiological data analysis at Neumarker Inc. Some remote work is acceptable. The role involves conducting neurophysiological data analysis, applying machine learning techniques and advanced statistics to develop digital biomarkers for psychiatry and neurology. + + + + +Qualifications + +Data Science, Statistics, and Data Analysis skills +Proficiency in applying advanced machine learning methods +Strong programming skills in languages like Python or Matlab +Experience with neurophysiological data analysis and interpretation +Ability to work independently and collaboratively in a multidisciplinary team +Excellent communication and presentation skills +Master's or Ph.D. in Data Science, Neuroscience, Computer Science, or related field + +Show more ","
    + + + + + +
    +
    +

    Company Description

    Neumarker Inc., located in the San Francisco Bay Area, is dedicated to revolutionizing the treatment of CNS disorders through its cutting-edge brain biomarker discovery platform powered by AI. By identifying predictive brain biomarkers, Neumarker personalizes treatment for each patient and accelerates drug development through efficient clinical trials. The company collaborates with drug developers, clinicians, and academic researchers to advance precision neuromedicine.


    Role Description

    This is a full-time hybrid role for a Data Scientist and AI developer in Neurophysiological data analysis at Neumarker Inc. Some remote work is acceptable. The role involves conducting neurophysiological data analysis, applying machine learning techniques and advanced statistics to develop digital biomarkers for psychiatry and neurology.


    Qualifications

    • Data Science, Statistics, and Data Analysis skills
    • Proficiency in applying advanced machine learning methods
    • Strong programming skills in languages like Python or Matlab
    • Experience with neurophysiological data analysis and interpretation
    • Ability to work independently and collaboratively in a multidisciplinary team
    • Excellent communication and presentation skills
    • Master's or Ph.D. in Data Science, Neuroscience, Computer Science, or related field

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-06,[] +4100043514,https://www.linkedin.com/jobs/view/data-scientist-at-recruitlink-ai-4100043514?position=42&pageNum=0&refId=odvFhSh7TRKsvqn1Vusdog%3D%3D&trackingId=0gFdWpmNWH56fxuRTCEGIQ%3D%3D,Data Scientist,RecruitLink AI,"McLean, VA","Overview + +The Data Scientist plays a critical role in extracting valuable insights from complex data sets to inform business decisions and drive innovations within the organization. This position requires a blend of technical expertise, analytical skills, and a strong business acumen to identify patterns, correlations, and trends within quantitative and qualitative data. A Data Scientist collaborates with cross-functional teams, including business analysts, and IT professionals, to implement data-driven strategies that enhance operational efficiency and improve customer experiences. The impact of a Data Scientist extends to shaping the company's data strategy, streamlining processes, and fostering a culture of data awareness across all levels of the organization. + +Key Responsibilities + + +Develop predictive models to enhance decision-making processes. +Perform data mining and statistical analysis to extract useful information. +Collaborate with stakeholders to understand their data needs and requirements. +Design and implement data collection processes for data analytics purposes. +Utilize machine learning algorithms to find solutions to business problems. +Create data visualizations and dashboards to communicate findings effectively. +Analyze and interpret complex data sets using statistical techniques. +Provide insights and recommendations based on data analysis. +Evaluate and improve data collection and analysis processes. +Work with large data sets and distributed computing frameworks. +Publish results, findings, and insights in a clear and concise manner. +Keep up to date with emerging data science technologies and methodologies. +Support data-driven decision-making across various departments. +Conduct experiments and A/B testing to optimize business strategies. +Document data science processes and methodologies for future reference. + + +Required Qualifications + + +Bachelor's degree in Computer Science, Mathematics, Statistics, or related field. +Master's degree or Ph.D. in Data Science or related discipline preferred. +5+ years of experience in a data science or analytic role. +Proficiency in programming languages such as Python or R. +Strong knowledge of SQL and relational databases. +Experience with Big Data technologies such as Hadoop or Spark. +Solid understanding of machine learning algorithms and techniques. +Experience with data visualization tools like Tableau or Power BI. +Familiarity with data cleaning and preprocessing methods. +Ability to communicate complex data in a clear and understandable manner. +Strong analytical and problem-solving skills. +Experience in delivering presentations to stakeholders. +Demonstrated ability to work collaboratively in cross-functional teams. +A portfolio showcasing data science projects or case studies. +Knowledge of industry standards, best practices, and guidelines for data science. +Continuous learning mindset and adaptability to new technologies. + + +Skills: power bi,sql proficiency,r,big data technologies,tableau,problem solving,data visualization,machine learning,data cleaning,spark,hadoop,feature engineering,python,sql,statistical analysis,preprocessing,data mining +Show more ","
    + + + + + +
    +
    + Overview

    The Data Scientist plays a critical role in extracting valuable insights from complex data sets to inform business decisions and drive innovations within the organization. This position requires a blend of technical expertise, analytical skills, and a strong business acumen to identify patterns, correlations, and trends within quantitative and qualitative data. A Data Scientist collaborates with cross-functional teams, including business analysts, and IT professionals, to implement data-driven strategies that enhance operational efficiency and improve customer experiences. The impact of a Data Scientist extends to shaping the company's data strategy, streamlining processes, and fostering a culture of data awareness across all levels of the organization.

    Key Responsibilities

    • Develop predictive models to enhance decision-making processes.
    • Perform data mining and statistical analysis to extract useful information.
    • Collaborate with stakeholders to understand their data needs and requirements.
    • Design and implement data collection processes for data analytics purposes.
    • Utilize machine learning algorithms to find solutions to business problems.
    • Create data visualizations and dashboards to communicate findings effectively.
    • Analyze and interpret complex data sets using statistical techniques.
    • Provide insights and recommendations based on data analysis.
    • Evaluate and improve data collection and analysis processes.
    • Work with large data sets and distributed computing frameworks.
    • Publish results, findings, and insights in a clear and concise manner.
    • Keep up to date with emerging data science technologies and methodologies.
    • Support data-driven decision-making across various departments.
    • Conduct experiments and A/B testing to optimize business strategies.
    • Document data science processes and methodologies for future reference.

    Required Qualifications

    • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
    • Master's degree or Ph.D. in Data Science or related discipline preferred.
    • 5+ years of experience in a data science or analytic role.
    • Proficiency in programming languages such as Python or R.
    • Strong knowledge of SQL and relational databases.
    • Experience with Big Data technologies such as Hadoop or Spark.
    • Solid understanding of machine learning algorithms and techniques.
    • Experience with data visualization tools like Tableau or Power BI.
    • Familiarity with data cleaning and preprocessing methods.
    • Ability to communicate complex data in a clear and understandable manner.
    • Strong analytical and problem-solving skills.
    • Experience in delivering presentations to stakeholders.
    • Demonstrated ability to work collaboratively in cross-functional teams.
    • A portfolio showcasing data science projects or case studies.
    • Knowledge of industry standards, best practices, and guidelines for data science.
    • Continuous learning mindset and adaptability to new technologies.

    Skills: power bi,sql proficiency,r,big data technologies,tableau,problem solving,data visualization,machine learning,data cleaning,spark,hadoop,feature engineering,python,sql,statistical analysis,preprocessing,data mining +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-13,[] +4090727669,https://www.linkedin.com/jobs/view/machine-learning-engineer-gen-ai-at-tecton-4090727669?position=45&pageNum=0&refId=odvFhSh7TRKsvqn1Vusdog%3D%3D&trackingId=rd0%2BxR0uA7Z4W8%2F4aZBkuA%3D%3D,"Machine Learning Engineer, Gen AI",Tecton,"San Francisco, CA","Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful AI applications. + +Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter. + +Tecton is the industry’s leading feature platform - used by Data Scientists and ML Engineers at ML powerhouses like Atlassian, Block, and Coinbase. + +By taking on this role, you will be responsible for bringing Tecton’s existing technology foundation to our customers’ GenAI use cases. The field is evolving quickly and you’ll need to be on your toes, and deeply immersed in the GenAI space. You will expand Tecton’s offering into a versatile platform that can power diverse GenAI use cases such as hosting RAG applications, using LLMs to extract features, generating historical training data to fine tune enriched prompts, and powering agentic workflows with tools. + +You will work directly with ML/AI Platform teams & use case teams. This will expose you to the bleeding edge of production AI applications that have immediate impact on our customers’ bottom lines. You will learn how AI is applied across use cases as varied as recommendation systems, search ranking, fraud detection, anti money laundering, price predictions, safety predictions, personalization, credit underwriting and much much more. + +Responsibilities + + +Work closely with the CEO/CTO to define and lead Tecton’s GenAI strategy. +Drive GenAI initiatives from ideation to delivery in a collaborative environment and partner across cross-functional teams and Product Managers. +Identify, develop, and validate the most important end-to-end GenAI use cases in Tecton. +Work closely with customers to launch impactful new capabilities at a rapid pace and close the gap for technical adoption of Tecton’s GenAI capabilities. +Take an experimental and iterative approach, prioritizing swift progress, and navigate through a high degree of ambiguity. + + +Qualifications + + +Bachelor's, Master's, or equivalent degree in Computer Science, Engineering, or a related field. A PhD is a plus, especially with a focus on AI/ML or Natural Language Processing (NLP). +Minimum of 6+ years as a Machine Learning Engineer or Software Engineer specializing in machine learning infrastructure or GenAI applications. +Proven track record of building, fine-tuning, and deploying machine learning or generative AI models in production environments. +Strong proficiency in Python and familiarity with key libraries such as NumPy, pandas, scikit-learn, TensorFlow, PyTorch, or JAX/Flax. +Hands-on expertise with deep learning frameworks, such as PyTorch or TensorFlow, and familiarity with libraries like Hugging Face Transformers for LLM development. +Experience working with large language models (LLMs) such as GPT, BERT, Llama, or Claude, including fine-tuning, prompt engineering, and deploying LLMs in production. +Proficiency in working with cloud platforms (AWS, GCP, Azure) for deploying ML/GenAI pipelines, including familiarity with services like S3, Lambda, SageMaker, Vertex AI, or equivalent. +Good familiarity with the rapidly evolving market and a strong intuition for identifying valuable, unique opportunities versus trends that lack long-term potential. +A pronounced inclination toward experimental and iterative approaches, prioritizing swift progress, and being able to navigate through a high degree of ambiguity. +Proven Competency in driving projects from ideation to delivery in a collaborative environment and being able to partner across cross-functional teams and Product Managers. +Previous experience working on 0 to 1 projects is a plus. + + +$189,000 - $258,000 a year + +The estimated US base salary range for this position is $189,000 - $258,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise. + +Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai. + +This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. +Show more ","
    + + + + + +
    +
    + Tecton helps companies unlock the full potential of their data for AI applications. The platform streamlines the complex process of preparing and delivering data to models. With Tecton, AI teams accelerate the development of smarter, more impactful AI applications.

    Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.

    Tecton is the industry’s leading feature platform - used by Data Scientists and ML Engineers at ML powerhouses like Atlassian, Block, and Coinbase.

    By taking on this role, you will be responsible for bringing Tecton’s existing technology foundation to our customers’ GenAI use cases. The field is evolving quickly and you’ll need to be on your toes, and deeply immersed in the GenAI space. You will expand Tecton’s offering into a versatile platform that can power diverse GenAI use cases such as hosting RAG applications, using LLMs to extract features, generating historical training data to fine tune enriched prompts, and powering agentic workflows with tools.

    You will work directly with ML/AI Platform teams & use case teams. This will expose you to the bleeding edge of production AI applications that have immediate impact on our customers’ bottom lines. You will learn how AI is applied across use cases as varied as recommendation systems, search ranking, fraud detection, anti money laundering, price predictions, safety predictions, personalization, credit underwriting and much much more.

    Responsibilities

    • Work closely with the CEO/CTO to define and lead Tecton’s GenAI strategy.
    • Drive GenAI initiatives from ideation to delivery in a collaborative environment and partner across cross-functional teams and Product Managers.
    • Identify, develop, and validate the most important end-to-end GenAI use cases in Tecton.
    • Work closely with customers to launch impactful new capabilities at a rapid pace and close the gap for technical adoption of Tecton’s GenAI capabilities.
    • Take an experimental and iterative approach, prioritizing swift progress, and navigate through a high degree of ambiguity.

    Qualifications

    • Bachelor's, Master's, or equivalent degree in Computer Science, Engineering, or a related field. A PhD is a plus, especially with a focus on AI/ML or Natural Language Processing (NLP).
    • Minimum of 6+ years as a Machine Learning Engineer or Software Engineer specializing in machine learning infrastructure or GenAI applications.
    • Proven track record of building, fine-tuning, and deploying machine learning or generative AI models in production environments.
    • Strong proficiency in Python and familiarity with key libraries such as NumPy, pandas, scikit-learn, TensorFlow, PyTorch, or JAX/Flax.
    • Hands-on expertise with deep learning frameworks, such as PyTorch or TensorFlow, and familiarity with libraries like Hugging Face Transformers for LLM development.
    • Experience working with large language models (LLMs) such as GPT, BERT, Llama, or Claude, including fine-tuning, prompt engineering, and deploying LLMs in production.
    • Proficiency in working with cloud platforms (AWS, GCP, Azure) for deploying ML/GenAI pipelines, including familiarity with services like S3, Lambda, SageMaker, Vertex AI, or equivalent.
    • Good familiarity with the rapidly evolving market and a strong intuition for identifying valuable, unique opportunities versus trends that lack long-term potential.
    • A pronounced inclination toward experimental and iterative approaches, prioritizing swift progress, and being able to navigate through a high degree of ambiguity.
    • Proven Competency in driving projects from ideation to delivery in a collaborative environment and being able to partner across cross-functional teams and Product Managers.
    • Previous experience working on 0 to 1 projects is a plus.

    $189,000 - $258,000 a year

    The estimated US base salary range for this position is $189,000 - $258,000 annually for employees based within California & New York. In addition to base salary, we offer competitive equity & comprehensive benefits such as medical, dental, vision, life, 401(K), flexible paid time off, 10 paid holidays each calendar year, sick time, leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location, level, role scope, and complexity, as well as additional job-related factors such as skills, experience, and expertise.

    Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.

    This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-04,[] +4098679932,https://www.linkedin.com/jobs/view/senior-data-scientist-analytics-at-etsy-4098679932?position=48&pageNum=0&refId=odvFhSh7TRKsvqn1Vusdog%3D%3D&trackingId=1Fn7nfy0MPgVmq7j0xt8xQ%3D%3D,"Senior Data Scientist, Analytics",Etsy,"Brooklyn, NY","Company Description + +Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. + +Salary Range + +$136,000.00 - $176,000.00 + +What’s the role? + +We are looking for a Senior Data Scientist, Analytics that will partner with the Growth group, whose focus is supporting teams working to support long-term buyer LTV through strategic offers and other tactics to drive retention and frequency. You will play a meaningful role in deciding how we can best engage and grow Etsy users through analysis of behavioral and transactional data. + +This is a full-time position reporting to the Manager, Product Analytics. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. + +This role requires your presence in Etsy’s Brooklyn Office once or twice per week depending on your proximity to the office. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub may be the first to be considered. Learn more details about our work modes and workplace safety policies here. + +What’s this team like at Etsy? + + +Data scientists at Etsy use rigorous methods to generate insights that advise product, marketing, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways +Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community + + +What does the day-to-day look like? + + +Partner with the Growth group, whose focus is supporting teams working to support long-term buyer LTV through strategic offers and other tactics to drive retention and frequency. +Play a meaningful role in deciding how we can best engage and grow Etsy users through analysis of behavioral and transactional data. +Design and analyze rigorous experiments, help teams set phenomenal hypotheses, and deliver robust analysis of experiment results. +Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency, and clear documentation. +Raise the skill level of the entire analytics team through the creation of outstanding work, mentorship, and the introduction of better practices, processes, and tools. +Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. + + +Qualities that will help you thrive in this role are: + + +4+ years experience as a data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support. +Mastery of SQL and proficiency in R/Python. Passionate to try innovative approaches to advance your technical skills. Experience with Spark and Looker, Tableau, or other data visualization software is a plus. +Deep understanding of experimentation theory and practice. +Specialize in sophisticated analyses and regularly use statistical methods in your work. +Distill highly complex problems into narratives that are concise, actionable, and memorable, and express your recommendations with both conviction and finesse. +Guided product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and driven decisions. +Passionate about reproducible work and have picked up tools to this end. +Acted as a mentor, inspiring others to make their own work better and more efficient. + + +Additional Information + +What's Next + +If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. + +Our Promise + +At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. 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. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills. +Show more ","
    + + + + + +
    +
    + Company Description

    Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

    Salary Range

    $136,000.00 - $176,000.00

    What’s the role?

    We are looking for a Senior Data Scientist, Analytics that will partner with the Growth group, whose focus is supporting teams working to support long-term buyer LTV through strategic offers and other tactics to drive retention and frequency. You will play a meaningful role in deciding how we can best engage and grow Etsy users through analysis of behavioral and transactional data.

    This is a full-time position reporting to the Manager, Product Analytics. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy.

    This role requires your presence in Etsy’s Brooklyn Office once or twice per week depending on your proximity to the office. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub may be the first to be considered. Learn more details about our work modes and workplace safety policies here.

    What’s this team like at Etsy?

    • Data scientists at Etsy use rigorous methods to generate insights that advise product, marketing, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways
    • Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community

    What does the day-to-day look like?

    • Partner with the Growth group, whose focus is supporting teams working to support long-term buyer LTV through strategic offers and other tactics to drive retention and frequency.
    • Play a meaningful role in deciding how we can best engage and grow Etsy users through analysis of behavioral and transactional data.
    • Design and analyze rigorous experiments, help teams set phenomenal hypotheses, and deliver robust analysis of experiment results.
    • Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency, and clear documentation.
    • Raise the skill level of the entire analytics team through the creation of outstanding work, mentorship, and the introduction of better practices, processes, and tools.
    • Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

    Qualities that will help you thrive in this role are:

    • 4+ years experience as a data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.
    • Mastery of SQL and proficiency in R/Python. Passionate to try innovative approaches to advance your technical skills. Experience with Spark and Looker, Tableau, or other data visualization software is a plus.
    • Deep understanding of experimentation theory and practice.
    • Specialize in sophisticated analyses and regularly use statistical methods in your work.
    • Distill highly complex problems into narratives that are concise, actionable, and memorable, and express your recommendations with both conviction and finesse.
    • Guided product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and driven decisions.
    • Passionate about reproducible work and have picked up tools to this end.
    • Acted as a mentor, inspiring others to make their own work better and more efficient.

    Additional Information

    What's Next

    If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.

    Our Promise

    At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. 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. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-13,[] +4098227930,https://ca.linkedin.com/jobs/view/data-scientist-at-incedo-inc-4098227930?position=56&pageNum=0&refId=odvFhSh7TRKsvqn1Vusdog%3D%3D&trackingId=qLD2tLkgohwfDUBTD5ixPQ%3D%3D,Data Scientist,Incedo Inc.,Canada,"Data Scientist + + + + +Job description + + + + +Overall- looking for a Data Science expert, who has a data science background and is driven by open source. + + + + +A brief description of the project: + +The expertise in cloud-based data science platform management, ideally AWS Sagemaker (AWS certifications, Sagemaker, cloud Architecture, etc, and data science are a plus). + +Can showcase strong coding experience (e.g. Python, SQL, Spark). + + + + +The skills required of the person – + +Track record of working with internal/augmented delivery teams. + +Experience with Agile methodology (ideally less). and DevOps delivery concepts. + +Strong experience in data scientist stakeholder management. + +Demonstrated ability to enable the delivery of visualization and analytics for business outcomes and an extensive knowledge of the tools available on the market. + +Awareness of current best practices in the data science domain open source and AWS + +Ability to gather the right people to solve problems from anywhere within and outside the organization. + +Ability to transform data science requirements into expected platform outcomes. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist


    Job description


    Overall- looking for a Data Science expert, who has a data science background and is driven by open source.


    A brief description of the project:

    The expertise in cloud-based data science platform management, ideally AWS Sagemaker (AWS certifications, Sagemaker, cloud Architecture, etc, and data science are a plus).

    Can showcase strong coding experience (e.g. Python, SQL, Spark).


    The skills required of the person –

    Track record of working with internal/augmented delivery teams.

    Experience with Agile methodology (ideally less). and DevOps delivery concepts.

    Strong experience in data scientist stakeholder management.

    Demonstrated ability to enable the delivery of visualization and analytics for business outcomes and an extensive knowledge of the tools available on the market.

    Awareness of current best practices in the data science domain open source and AWS

    Ability to gather the right people to solve problems from anywhere within and outside the organization.

    Ability to transform data science requirements into expected platform outcomes.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-11,[] +4096276045,https://ca.linkedin.com/jobs/view/ai-ml-data-scientist-at-acuity-insights-4096276045?position=3&pageNum=2&refId=3boe5uJp0vwdVjf5VXVzWw%3D%3D&trackingId=ly3fHz8qJLXOXuAEBN5LYw%3D%3D,AI/ML Data Scientist,Acuity Insights,"Calgary, Alberta, 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! +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-13,[] +4089986692,https://www.linkedin.com/jobs/view/data-scientist-at-matheson-4089986692?position=5&pageNum=2&refId=3boe5uJp0vwdVjf5VXVzWw%3D%3D&trackingId=PGJrHLgTXF5qSjIoliWBNA%3D%3D,Data Scientist,MATHESON,"Irving, TX","Matheson produces industrial, medical and specialty gases and associated gas-handling equipment in North America. We provide complete customer solutions, offering everything from onsite air separation plants to small portable cylinders and all the services required to support these products and customer applications. MATHESON has over 300 locations in the U.S. and more than 4500 employees. + + + + +You can learn more about us at www.mathesongas.com + + + + +We are expanding our Artificial Intelligence team and looking to hire a few Data Scientists based in our Irving TX corporate office. You will solve critical business challenges through AI and ML analysis. + +Key Responsibilities: + +Collect and organize AI data from various sources +Perform analysis and modeling to predict trends from our AI tools +Communicate AI analytics results +Automate processes by building pipelines and AI/ML algorithms +Stay on top of advancements in AI-focused data science + + + + +Requirements: + +3+ years of industry experience in a data scientist or analyst role +Strong statistical, analytical, and problem-solving skills +Ability to translate complex AI analyses into clear business insights +Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms +Strong communication skills +Show more ","
    + + + + + +
    +
    +

    Matheson produces industrial, medical and specialty gases and associated gas-handling equipment in North America. We provide complete customer solutions, offering everything from onsite air separation plants to small portable cylinders and all the services required to support these products and customer applications. MATHESON has over 300 locations in the U.S. and more than 4500 employees.


    You can learn more about us at www.mathesongas.com


    We are expanding our Artificial Intelligence team and looking to hire a few Data Scientists based in our Irving TX corporate office. You will solve critical business challenges through AI and ML analysis.

    Key Responsibilities:

    • Collect and organize AI data from various sources
    • Perform analysis and modeling to predict trends from our AI tools
    • Communicate AI analytics results
    • Automate processes by building pipelines and AI/ML algorithms
    • Stay on top of advancements in AI-focused data science


    Requirements:

    • 3+ years of industry experience in a data scientist or analyst role
    • Strong statistical, analytical, and problem-solving skills
    • Ability to translate complex AI analyses into clear business insights
    • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
    • Strong communication skills
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-04,[] +4097667544,https://www.linkedin.com/jobs/view/applied-scientist-machine-learning-engineer-software-engineer-machine-learning-at-veracity-software-inc-4097667544?position=6&pageNum=2&refId=3boe5uJp0vwdVjf5VXVzWw%3D%3D&trackingId=wm2LwE%2B49yo%2Bp9ttMau%2B3Q%3D%3D,"Applied Scientist / Machine Learning Engineer, Software Engineer (Machine Learning)",Veracity Software Inc,"San Jose, CA","Applied Scientist | 2 Openings. + +San Jose, CA & Seattle, WA + +Flexible work from home days + +We are looking for an engineer to spearhead our Brand Ads forecasting initiatives. You will be leading a group of talented engineers in developing world-class advertising products and technologies. Your work will have a direct impact on billions of dollars in revenue and shape the industry's landscape through complex technical challenges in infrastructure, algorithms, and machine learning. + +Key Responsibilities: + + +Applying statistical or machine learning knowledge to solve forecasting problems used by advertisers to make ad spending decisions. +Translating business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data. +Retrieving, synthesizing, and presenting data in a format that is immediately useful to answering specific questions or improving system performance. +Applying statistical or machine learning knowledge to solve specific business problems. + + +Minimum Qualifications: + + +Deep domain knowledge in the field of forecasting +Strong technical capabilities in data or Client + + +Preferred Qualifications: + + +Experience in ads bidding, ranking, and retrieval, ads forecasting is a strong plus +Expertise in large-scale ads delivery, recommendation, or search is highly desirable +Proven track record of working closely with product and product marketing teams is a plus +Background as a data scientist or applied scientist working in forecasting + + +Skills And Certifications + +Machine Learning + +Algorithms + +Deep Learning +Show more ","
    + + + + + +
    +
    + Applied Scientist | 2 Openings.

     San Jose, CA & Seattle, WA

     Flexible work from home days

    We are looking for an engineer to spearhead our Brand Ads forecasting initiatives. You will be leading a group of talented engineers in developing world-class advertising products and technologies. Your work will have a direct impact on billions of dollars in revenue and shape the industry's landscape through complex technical challenges in infrastructure, algorithms, and machine learning.

    Key Responsibilities:

    • Applying statistical or machine learning knowledge to solve forecasting problems used by advertisers to make ad spending decisions.
    • Translating business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.
    • Retrieving, synthesizing, and presenting data in a format that is immediately useful to answering specific questions or improving system performance.
    • Applying statistical or machine learning knowledge to solve specific business problems.

    Minimum Qualifications:

    • Deep domain knowledge in the field of forecasting
    • Strong technical capabilities in data or Client

    Preferred Qualifications:

    • Experience in ads bidding, ranking, and retrieval, ads forecasting is a strong plus
    • Expertise in large-scale ads delivery, recommendation, or search is highly desirable
    • Proven track record of working closely with product and product marketing teams is a plus
    • Background as a data scientist or applied scientist working in forecasting

    Skills And Certifications

     Machine Learning

     Algorithms

    Deep Learning +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-11-18,[] +4099351704,https://www.linkedin.com/jobs/view/data-scientist-at-antal-international-4099351704?position=7&pageNum=2&refId=3boe5uJp0vwdVjf5VXVzWw%3D%3D&trackingId=NzEPCFHnf%2FXkdYF7oNMlCA%3D%3D,Data Scientist,Antal International,"Mountain View, CA","Our client is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. + +Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. We continue to be the leading content services provider to research and education publishers. + +Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. + +With a client-base scoping 30 countries worldwide, multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. + +Job Title: Data Science + +Location: Mountain View, CA (5 days onsite) + +Type: FTE + +Job Description: + +1. 3+ Years of Banking / Payments analytics experience in a consulting set-up. + +2. Strong experience of developing and deploying Predictive/ML solutions. + +3. Proficiency in SQL, Tableau, Python. + +4. Strong experience in Big Data Technologies like Hadoop, Spark or similar platforms. + +5. Excellent communication skills and strong stakeholder management experience. + +6. Strong problem-solving skills. + +Show more ","
    + + + + + +
    +
    +

    Our client is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

    Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. We continue to be the leading content services provider to research and education publishers.

    Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

    With a client-base scoping 30 countries worldwide, multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

    Job Title: Data Science

    Location: Mountain View, CA (5 days onsite)

    Type: FTE

    Job Description:

    1. 3+ Years of Banking / Payments analytics experience in a consulting set-up.

    2. Strong experience of developing and deploying Predictive/ML solutions.

    3. Proficiency in SQL, Tableau, Python.

    4. Strong experience in Big Data Technologies like Hadoop, Spark or similar platforms.

    5. Excellent communication skills and strong stakeholder management experience.

    6. Strong problem-solving skills.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-13,[] +4098227930,https://ca.linkedin.com/jobs/view/data-scientist-at-incedo-inc-4098227930?position=7&pageNum=5&refId=pPbkcu9tQNnJ1xLhLdVdOg%3D%3D&trackingId=Rn6Q%2BrJr6TQuhHnD%2FF4r7w%3D%3D,Data Scientist,Incedo Inc.,Canada,"Data Scientist + + + + +Job description + + + + +Overall- looking for a Data Science expert, who has a data science background and is driven by open source. + + + + +A brief description of the project: + +The expertise in cloud-based data science platform management, ideally AWS Sagemaker (AWS certifications, Sagemaker, cloud Architecture, etc, and data science are a plus). + +Can showcase strong coding experience (e.g. Python, SQL, Spark). + + + + +The skills required of the person – + +Track record of working with internal/augmented delivery teams. + +Experience with Agile methodology (ideally less). and DevOps delivery concepts. + +Strong experience in data scientist stakeholder management. + +Demonstrated ability to enable the delivery of visualization and analytics for business outcomes and an extensive knowledge of the tools available on the market. + +Awareness of current best practices in the data science domain open source and AWS + +Ability to gather the right people to solve problems from anywhere within and outside the organization. + +Ability to transform data science requirements into expected platform outcomes. + +Show more ","
    + + + + + +
    +
    +

    Data Scientist


    Job description


    Overall- looking for a Data Science expert, who has a data science background and is driven by open source.


    A brief description of the project:

    The expertise in cloud-based data science platform management, ideally AWS Sagemaker (AWS certifications, Sagemaker, cloud Architecture, etc, and data science are a plus).

    Can showcase strong coding experience (e.g. Python, SQL, Spark).


    The skills required of the person –

    Track record of working with internal/augmented delivery teams.

    Experience with Agile methodology (ideally less). and DevOps delivery concepts.

    Strong experience in data scientist stakeholder management.

    Demonstrated ability to enable the delivery of visualization and analytics for business outcomes and an extensive knowledge of the tools available on the market.

    Awareness of current best practices in the data science domain open source and AWS

    Ability to gather the right people to solve problems from anywhere within and outside the organization.

    Ability to transform data science requirements into expected platform outcomes.

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-11,[] +4097663908,https://ca.linkedin.com/jobs/view/data-scientist-at-global-technical-talent-an-inc-5000-company-4097663908?position=8&pageNum=5&refId=pPbkcu9tQNnJ1xLhLdVdOg%3D%3D&trackingId=pAqlEBVmWSkzRgop%2Fcdugw%3D%3D,Data Scientist,"Global Technical Talent, an Inc. 5000 Company","Toronto, Ontario, Canada","Job Title: Data Scientist +Contract Duration: 12 Months +Pay range C$50 - 60/hr +Work Type: Hybrid: 2-3 days onsite +Location: Toronto, ON + + +Job Description: + +Are you a skilled data scientist with a passion for driving business insights? Join our team at a top 10 bank in Canada and North America, and contribute to our innovative financial solutions. + + +Key Responsibilities: + +Test and modify data programs and databases. +Design and implement database management systems. +Collaborate with project teams to coordinate database development. +Analyze project requests and estimate resource requirements. + + +Required Qualifications: + +5+ years of data scientist experience. +Data modeling experience. +Business intelligence expertise. +Proficiency in SAS, Python, and SQL. +Ability to manage multiple projects simultaneously. + + +Preferred Qualifications: + +Oracle experience. +AML experience. +SAS AML experience. +Fraud and compliance experience. +Banking experience. + + +About Us: + +Leading financial institution offering a comprehensive range of banking services. Join our team and make a meaningful impact on our customers' financial success. + + +Keywords: data scientist, data modeling, business intelligence, SAS, Python, SQL, banking, finance, financial services, career opportunities, job openings + +24-13343 #gttca   #gttjobs  + +Show more ","
    + + + + + +
    +
    + Job Title: Data Scientist
    Contract Duration: 12 Months
    Pay range C$50 - 60/hr
    Work Type: Hybrid: 2-3 days onsite
    Location: Toronto, ON


    Job Description:

    Are you a skilled data scientist with a passion for driving business insights? Join our team at a top 10 bank in Canada and North America, and contribute to our innovative financial solutions.


    Key Responsibilities:

    • Test and modify data programs and databases.
    • Design and implement database management systems.
    • Collaborate with project teams to coordinate database development.
    • Analyze project requests and estimate resource requirements.


    Required Qualifications:

    • 5+ years of data scientist experience.
    • Data modeling experience.
    • Business intelligence expertise.
    • Proficiency in SAS, Python, and SQL.
    • Ability to manage multiple projects simultaneously.


    Preferred Qualifications:

    • Oracle experience.
    • AML experience.
    • SAS AML experience.
    • Fraud and compliance experience.
    • Banking experience.


    About Us:

    Leading financial institution offering a comprehensive range of banking services. Join our team and make a meaningful impact on our customers' financial success.


    Keywords: data scientist, data modeling, business intelligence, SAS, Python, SQL, banking, finance, financial services, career opportunities, job openings

    24-13343 #gttca   #gttjobs 

    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-13,[] +4101687569,https://sk.linkedin.com/jobs/view/r-d-machine-learning-ml-engineer-mid-at-exus-4101687569?position=1&pageNum=0&refId=gKaeBUGDQOBIUjMjPXXg8A%3D%3D&trackingId=DTNpfwI%2F1tvF6b1pTXsQyw%3D%3D,R&D - Machine Learning /ML Engineer (Mid),EXUS,"Bratislava, Bratislava, Slovakia","EXUS AI Labs, the R&D department of EXUS, is where we design and develop robust and trustworthy AI solutions that allow us to leverage the untapped potential of big data analytics across multiple verticals. For more than 25 years, EXUS has gained substantial experience in managing research activities, from the ideation to the realization phase, taking advantage of a highly professional and diverse team. Currently, EXUS AI Labs coordinates and participates in projects which have received funding under the H2020 Research and Innovation Programme, as well as national funding schemes such as Innovate UK. + +Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world. + +This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people. We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good. We are positive and eager to learn and explore. We are committed to our vision. + +Our shared Values: + + +We are transparent and direct +We are positive and fun, never cynical or sarcastic +We are eager to learn and explore +We put the greater good first +We are frugal and we do not waste resources +We are fanatically disciplined, we deliver on our promises + + + +We are EXUS! Are you? + +Right now, we have a vacancy for an R&D - Machine Learning /ML Engineer (Mid) . This is a fully remote opportunity. You will join a multidisciplinary team of Engineers, Data Scientists, and innovation management Experts that excel in driving innovation in software engineering, A.I., and data analytics, to foster advances in key sectors such as banking, security, health, finance, creativity, and lifelong learning. + +Our department is working on numerous large-scale Research and Innovation Projects in various sectors such as Security (Physical and Digital), Health, and Creativity. Our core competence is around A.I., data analytics, real-time systems engineering, complex event processing, and large-scale cloud implementations. + +Your main duties will be: + + +Technical Project Management (project's effort allocation, task plan, projects' progress overview, participation in calls & meetings) +Projects' Technical specification definition & Architecture Design (technical requirements definition, software architecture design, data flows definition) +Apply Machine Learning algorithms and techniques, build and maintain end-to-end solutions +Statistical analysis and fine-tuning using test results +Collaborate with data scientists and software engineers to build and maintain data and model pipelines +Provide solutions to any technical-related issues during a project's lifecycle + + + +Requirements + + +BSc degree in Computer Science, Mathematics or a similar field. An MSc degree will be highly appreciated. +Proven working experience, 3 to 5 years, on application development project(s). +Good knowledge of mathematics, probability, statistics, and computational algorithms. +Proven experience and competence in software engineering and design. +Good understanding of data structures, data modeling, and software architectures. +Expertise in data analysis and visualization +Proven experience in Python +Familiarity with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, pandas, scikit-learn). +Good knowledge of Git +Experience with REST-API design and implementation +Working experience in Research / H2020 Projects, will be highly appreciated + + + +Preferred Skills + + +Experience in frameworks Django, FLASK or FastAPI +Familiar with SQL databases +Familiarisation with application containers (Docker) and general exposure to continuous integration processes and practices +Familiarization with event-driven processes + + + +General Skills: + + +Excellent understanding of the English language (both verbal & written) +Strong problem-solving skills and analytical thinking +Team player, self-motivated, constantly seeking new knowledge + + + +Ability to travel (up to 10% of total working time, in European destinations) / Fulfilled military obligations for male candidates + +Benefits + +At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success. + + +Fully remote work setup +Competitive salary +Inclusive work environment & Well-being Program +A clear induction program & a mentoring buddy to help you +Private health insurance allowance +Unlimited time off +Show more ","
    + + + + + +
    +
    + EXUS AI Labs, the R&D department of EXUS, is where we design and develop robust and trustworthy AI solutions that allow us to leverage the untapped potential of big data analytics across multiple verticals. For more than 25 years, EXUS has gained substantial experience in managing research activities, from the ideation to the realization phase, taking advantage of a highly professional and diverse team. Currently, EXUS AI Labs coordinates and participates in projects which have received funding under the H2020 Research and Innovation Programme, as well as national funding schemes such as Innovate UK.

    Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world.

    This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people. We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good. We are positive and eager to learn and explore. We are committed to our vision.

    Our shared Values:

    • We are transparent and direct
    • We are positive and fun, never cynical or sarcastic
    • We are eager to learn and explore
    • We put the greater good first
    • We are frugal and we do not waste resources
    • We are fanatically disciplined, we deliver on our promises


    We are EXUS! Are you?

    Right now, we have a vacancy for an R&D - Machine Learning /ML Engineer (Mid) . This is a fully remote opportunity. You will join a multidisciplinary team of Engineers, Data Scientists, and innovation management Experts that excel in driving innovation in software engineering, A.I., and data analytics, to foster advances in key sectors such as banking, security, health, finance, creativity, and lifelong learning.

    Our department is working on numerous large-scale Research and Innovation Projects in various sectors such as Security (Physical and Digital), Health, and Creativity. Our core competence is around A.I., data analytics, real-time systems engineering, complex event processing, and large-scale cloud implementations.

    Your main duties will be:

    • Technical Project Management (project's effort allocation, task plan, projects' progress overview, participation in calls & meetings)
    • Projects' Technical specification definition & Architecture Design (technical requirements definition, software architecture design, data flows definition)
    • Apply Machine Learning algorithms and techniques, build and maintain end-to-end solutions
    • Statistical analysis and fine-tuning using test results
    • Collaborate with data scientists and software engineers to build and maintain data and model pipelines
    • Provide solutions to any technical-related issues during a project's lifecycle


    Requirements

    • BSc degree in Computer Science, Mathematics or a similar field. An MSc degree will be highly appreciated.
    • Proven working experience, 3 to 5 years, on application development project(s).
    • Good knowledge of mathematics, probability, statistics, and computational algorithms.
    • Proven experience and competence in software engineering and design.
    • Good understanding of data structures, data modeling, and software architectures.
    • Expertise in data analysis and visualization
    • Proven experience in Python
    • Familiarity with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, pandas, scikit-learn).
    • Good knowledge of Git
    • Experience with REST-API design and implementation
    • Working experience in Research / H2020 Projects, will be highly appreciated


    Preferred Skills

    • Experience in frameworks Django, FLASK or FastAPI
    • Familiar with SQL databases
    • Familiarisation with application containers (Docker) and general exposure to continuous integration processes and practices
    • Familiarization with event-driven processes


    General Skills:

    • Excellent understanding of the English language (both verbal & written)
    • Strong problem-solving skills and analytical thinking
    • Team player, self-motivated, constantly seeking new knowledge


    Ability to travel (up to 10% of total working time, in European destinations) / Fulfilled military obligations for male candidates

    Benefits

    At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success.

    • Fully remote work setup
    • Competitive salary
    • Inclusive work environment & Well-being Program
    • A clear induction program & a mentoring buddy to help you
    • Private health insurance allowance
    • Unlimited time off
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-11-20,[] +4101691190,https://hu.linkedin.com/jobs/view/r-d-machine-learning-ml-engineer-mid-at-exus-4101691190?position=2&pageNum=0&refId=gKaeBUGDQOBIUjMjPXXg8A%3D%3D&trackingId=Zlr0DXfot0P40dDd%2BQ14Kg%3D%3D,R&D - Machine Learning /ML Engineer (Mid),EXUS,"Budapest, Budapest, Hungary","EXUS AI Labs, the R&D department of EXUS, is where we design and develop robust and trustworthy AI solutions that allow us to leverage the untapped potential of big data analytics across multiple verticals. For more than 25 years, EXUS has gained substantial experience in managing research activities, from the ideation to the realization phase, taking advantage of a highly professional and diverse team. Currently, EXUS AI Labs coordinates and participates in projects which have received funding under the H2020 Research and Innovation Programme, as well as national funding schemes such as Innovate UK. + +Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world. + +This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people. We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good. We are positive and eager to learn and explore. We are committed to our vision. + +Our shared Values: + + +We are transparent and direct +We are positive and fun, never cynical or sarcastic +We are eager to learn and explore +We put the greater good first +We are frugal and we do not waste resources +We are fanatically disciplined, we deliver on our promises + + + +We are EXUS! Are you? + +Right now, we have a vacancy for an R&D - Machine Learning /ML Engineer (Mid) . This is a fully remote opportunity. You will join a multidisciplinary team of Engineers, Data Scientists, and innovation management Experts that excel in driving innovation in software engineering, A.I., and data analytics, to foster advances in key sectors such as banking, security, health, finance, creativity, and lifelong learning. + +Our department is working on numerous large-scale Research and Innovation Projects in various sectors such as Security (Physical and Digital), Health, and Creativity. Our core competence is around A.I., data analytics, real-time systems engineering, complex event processing, and large-scale cloud implementations. + +Your main duties will be: + + +Technical Project Management (project's effort allocation, task plan, projects' progress overview, participation in calls & meetings) +Projects' Technical specification definition & Architecture Design (technical requirements definition, software architecture design, data flows definition) +Apply Machine Learning algorithms and techniques, build and maintain end-to-end solutions +Statistical analysis and fine-tuning using test results +Collaborate with data scientists and software engineers to build and maintain data and model pipelines +Provide solutions to any technical-related issues during a project's lifecycle + + + +Requirements + + +BSc degree in Computer Science, Mathematics or a similar field. An MSc degree will be highly appreciated. +Proven working experience, 3 to 5 years, on application development project(s). +Good knowledge of mathematics, probability, statistics, and computational algorithms. +Proven experience and competence in software engineering and design. +Good understanding of data structures, data modeling, and software architectures. +Expertise in data analysis and visualization +Proven experience in Python +Familiarity with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, pandas, scikit-learn). +Good knowledge of Git +Experience with REST-API design and implementation +Working experience in Research / H2020 Projects, will be highly appreciated + + + +Preferred Skills + + +Experience in frameworks Django, FLASK or FastAPI +Familiar with SQL databases +Familiarisation with application containers (Docker) and general exposure to continuous integration processes and practices +Familiarization with event-driven processes + + + +General Skills: + + +Excellent understanding of the English language (both verbal & written) +Strong problem-solving skills and analytical thinking +Team player, self-motivated, constantly seeking new knowledge + + + +Ability to travel (up to 10% of total working time, in European destinations) / Fulfilled military obligations for male candidates + +Benefits + +At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success. + + +Fully remote work setup +Competitive salary +Inclusive work environment & Well-being Program +A clear induction program & a mentoring buddy to help you +Private health insurance allowance +Unlimited time off +Show more ","
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    +
    + EXUS AI Labs, the R&D department of EXUS, is where we design and develop robust and trustworthy AI solutions that allow us to leverage the untapped potential of big data analytics across multiple verticals. For more than 25 years, EXUS has gained substantial experience in managing research activities, from the ideation to the realization phase, taking advantage of a highly professional and diverse team. Currently, EXUS AI Labs coordinates and participates in projects which have received funding under the H2020 Research and Innovation Programme, as well as national funding schemes such as Innovate UK.

    Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world.

    This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people. We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good. We are positive and eager to learn and explore. We are committed to our vision.

    Our shared Values:

    • We are transparent and direct
    • We are positive and fun, never cynical or sarcastic
    • We are eager to learn and explore
    • We put the greater good first
    • We are frugal and we do not waste resources
    • We are fanatically disciplined, we deliver on our promises


    We are EXUS! Are you?

    Right now, we have a vacancy for an R&D - Machine Learning /ML Engineer (Mid) . This is a fully remote opportunity. You will join a multidisciplinary team of Engineers, Data Scientists, and innovation management Experts that excel in driving innovation in software engineering, A.I., and data analytics, to foster advances in key sectors such as banking, security, health, finance, creativity, and lifelong learning.

    Our department is working on numerous large-scale Research and Innovation Projects in various sectors such as Security (Physical and Digital), Health, and Creativity. Our core competence is around A.I., data analytics, real-time systems engineering, complex event processing, and large-scale cloud implementations.

    Your main duties will be:

    • Technical Project Management (project's effort allocation, task plan, projects' progress overview, participation in calls & meetings)
    • Projects' Technical specification definition & Architecture Design (technical requirements definition, software architecture design, data flows definition)
    • Apply Machine Learning algorithms and techniques, build and maintain end-to-end solutions
    • Statistical analysis and fine-tuning using test results
    • Collaborate with data scientists and software engineers to build and maintain data and model pipelines
    • Provide solutions to any technical-related issues during a project's lifecycle


    Requirements

    • BSc degree in Computer Science, Mathematics or a similar field. An MSc degree will be highly appreciated.
    • Proven working experience, 3 to 5 years, on application development project(s).
    • Good knowledge of mathematics, probability, statistics, and computational algorithms.
    • Proven experience and competence in software engineering and design.
    • Good understanding of data structures, data modeling, and software architectures.
    • Expertise in data analysis and visualization
    • Proven experience in Python
    • Familiarity with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, pandas, scikit-learn).
    • Good knowledge of Git
    • Experience with REST-API design and implementation
    • Working experience in Research / H2020 Projects, will be highly appreciated


    Preferred Skills

    • Experience in frameworks Django, FLASK or FastAPI
    • Familiar with SQL databases
    • Familiarisation with application containers (Docker) and general exposure to continuous integration processes and practices
    • Familiarization with event-driven processes


    General Skills:

    • Excellent understanding of the English language (both verbal & written)
    • Strong problem-solving skills and analytical thinking
    • Team player, self-motivated, constantly seeking new knowledge


    Ability to travel (up to 10% of total working time, in European destinations) / Fulfilled military obligations for male candidates

    Benefits

    At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success.

    • Fully remote work setup
    • Competitive salary
    • Inclusive work environment & Well-being Program
    • A clear induction program & a mentoring buddy to help you
    • Private health insurance allowance
    • Unlimited time off
    +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-11-20,[] +3993746950,https://www.linkedin.com/jobs/view/machine-learning-scientist-at-flagship-pioneering-3993746950?position=1&pageNum=0&refId=D5sCngjKrYFy%2BgZsiVfigg%3D%3D&trackingId=Zqqi4Sf22%2FOSQ96rvlAIzA%3D%3D,Machine Learning Scientist,Flagship Pioneering,"Cambridge, MA","Who We Are + +Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemble the capital to allow them to take courageous leaps. Those big leaps in human health and sustainability exponentially accelerate scientific progress in areas ranging from cancer detection and treatment to nature-positive agriculture.   + + What sets Flagship apart is our ability to advance biotechnology by uniting life science innovation, company creation, and capital investment under one roof in a way that is largely without precedent. Our scientific founders, entrepreneurial leaders, and professional capital managers are each aligned around an institutionalized process that enables us to innovate and transform for the benefit of people and planet.   + +Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  + +Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. + +Position Summary + +We believe deep integration of data-driven machine learning with experimental approaches is a core driver of the next generation of defining companies in health. We imagine this will be driven by individuals from diverse scientific and machine learning backgrounds. Thus, we are open to all profiles with computational excellence. + +We are seeking the most innovative and entrepreneurial Machine Learning Scientists. You will join organizations at the early stages of our company creation process to develop innovative algorithmic methods, leveraging both in-house and external data to train and evaluate models while also deploying new algorithms into production and integrating deeply into experimental platforms to close feedback loops. The successful candidate will work closely with experimental scientists to rapidly advance various scientific programs. + +Key responsibilities: + + +Develop or fine-tune deep learning architectures and hone them through deployment on experimental platforms. +Work with experimental groups to integrate modeling efforts into high-impact applications. +Develop production-quality code in a team setting and plan for deploying and training models at scale. +Present progress from scientific work in regular research meetings and prepare reports and slide decks for broader internal and external communication. + + +Qualifications: + + +PhD in computer science with a desire to collaborate with leading experimentalists or a PhD in scientific field plus demonstrated experience applying deep learning. Exceptional candidates without PhDs will be considered. +Experience developing, debugging, and applying models using modern deep learning frameworks on GPUs in cloud environments. +Proficiency in Python and machine learning frameworks such as TensorFlow, Pytorch, and/or JAX. +Desire to work across the entire data stack, from data ingest to model deployment. +Curiosity and humility to work with scientific domain experts to identify and frame problems worth solving beyond existing benchmarks. +Energetic self-starter with the ability to work effectively in a startup environment. +Excellent analytical skills and ability to synthesize & communicate complex information rapidly and effectively. + + +Location: Cambridge, MA + +Flagship Pioneering and our ecosystem companies 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. + +At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. + +Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. +Show more ","
    + + + + + +
    +
    + Who We Are

    Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemble the capital to allow them to take courageous leaps. Those big leaps in human health and sustainability exponentially accelerate scientific progress in areas ranging from cancer detection and treatment to nature-positive agriculture.  

     What sets Flagship apart is our ability to advance biotechnology by uniting life science innovation, company creation, and capital investment under one roof in a way that is largely without precedent. Our scientific founders, entrepreneurial leaders, and professional capital managers are each aligned around an institutionalized process that enables us to innovate and transform for the benefit of people and planet.  

    Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. 

    Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies.

    Position Summary

    We believe deep integration of data-driven machine learning with experimental approaches is a core driver of the next generation of defining companies in health. We imagine this will be driven by individuals from diverse scientific and machine learning backgrounds. Thus, we are open to all profiles with computational excellence.

    We are seeking the most innovative and entrepreneurial Machine Learning Scientists. You will join organizations at the early stages of our company creation process to develop innovative algorithmic methods, leveraging both in-house and external data to train and evaluate models while also deploying new algorithms into production and integrating deeply into experimental platforms to close feedback loops. The successful candidate will work closely with experimental scientists to rapidly advance various scientific programs.

    Key responsibilities:

    • Develop or fine-tune deep learning architectures and hone them through deployment on experimental platforms.
    • Work with experimental groups to integrate modeling efforts into high-impact applications.
    • Develop production-quality code in a team setting and plan for deploying and training models at scale.
    • Present progress from scientific work in regular research meetings and prepare reports and slide decks for broader internal and external communication.

    Qualifications:

    • PhD in computer science with a desire to collaborate with leading experimentalists or a PhD in scientific field plus demonstrated experience applying deep learning. Exceptional candidates without PhDs will be considered.
    • Experience developing, debugging, and applying models using modern deep learning frameworks on GPUs in cloud environments.
    • Proficiency in Python and machine learning frameworks such as TensorFlow, Pytorch, and/or JAX.
    • Desire to work across the entire data stack, from data ingest to model deployment.
    • Curiosity and humility to work with scientific domain experts to identify and frame problems worth solving beyond existing benchmarks.
    • Energetic self-starter with the ability to work effectively in a startup environment.
    • Excellent analytical skills and ability to synthesize & communicate complex information rapidly and effectively.

    Location: Cambridge, MA

    Flagship Pioneering and our ecosystem companies 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.

    At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

    Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto. +
    + + + + + + + + + + + + + + + + + + +
    + +
    ",2024-12-12,[]