Microsoft
Senior Data Scientist - Copilot Insights
Microsoft, Redmond, Washington, United States, 98052
Copilot Insights is a data driven team looking to uncover insights about customer usage of Copilot and find ways to add customer value through the Copilot features and interactions we build inside of Office. The Copilot Insights team delivers insights and analysis that drives the features and investments that Office makes to add value to customers' lives through Copilot! Our team is about empowering organizations and individuals to unlock their full potential using Copilot within Office.
Senior Data Scientist – Copilot Insights
In this role, you will collaborate with Engineers, Product Managers, Data and Applied Scientists, as well as business and AI leaders to design and develop AI/ML solutions that address business needs. Responsibilities include defining Copilot metrics, supporting experimentation systems, and developing evaluation frameworks for Copilot investments.
Responsibilities
Develop extensive knowledge in the domain and technical framework, notably in Large Language Models (LLM), and play a role in advancing product development through ongoing awareness of industry trends and technologies, continuously finding insights that drive product investment decisions.
Assess business needs and integrate research to achieve business objectives; guide the selection of data to address issues strategically, leveraging knowledge to design, measure and build AI applications to drive tangible business results.
Record ongoing work and experimental findings, sharing them to encourage innovation.
Assess the effectiveness of models and collaborate with product teams to design AI‑driven experiences.
Communicate and educate team members (engineers, product managers, leadership) on Data Science principles and methodologies so that they understand the models being built, conclusions being drawn, why the model was chosen, and how to interpret the results.
Apply concepts to practical models and innovate at the speed of our business; ship models and enhancements on an on‑going basis to empower partners to focus their Copilot efforts across Office.
Qualifications Required Qualifications
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 1 year of data‑science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results).
Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 3 years of data‑science experience.
Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 5 years of data‑science experience.
Equivalent experience.
At least 1 year of experience building generative AI applications.
At least 1 year of experience fine‑tuning language models.
Preferred Qualifications
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 3 years of data‑science experience.
Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 5 years of data‑science experience.
Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 7 years of data‑science experience.
Equivalent experience.
At least 4 years of technical leadership in designing and scaling generative AI pipelines (retrieval‑augmented generation, fine‑tuning, evaluation frameworks) with deep knowledge of transformer models and architectures.
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check required upon hire/transfer and every two years thereafter.
Data Science IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. In the San Francisco Bay area and New York City metropolitan area, the range is USD $158,400 – $258,000 per year.
Microsoft will accept applications for the role until November 2, 2025.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Senior Data Scientist – Copilot Insights
In this role, you will collaborate with Engineers, Product Managers, Data and Applied Scientists, as well as business and AI leaders to design and develop AI/ML solutions that address business needs. Responsibilities include defining Copilot metrics, supporting experimentation systems, and developing evaluation frameworks for Copilot investments.
Responsibilities
Develop extensive knowledge in the domain and technical framework, notably in Large Language Models (LLM), and play a role in advancing product development through ongoing awareness of industry trends and technologies, continuously finding insights that drive product investment decisions.
Assess business needs and integrate research to achieve business objectives; guide the selection of data to address issues strategically, leveraging knowledge to design, measure and build AI applications to drive tangible business results.
Record ongoing work and experimental findings, sharing them to encourage innovation.
Assess the effectiveness of models and collaborate with product teams to design AI‑driven experiences.
Communicate and educate team members (engineers, product managers, leadership) on Data Science principles and methodologies so that they understand the models being built, conclusions being drawn, why the model was chosen, and how to interpret the results.
Apply concepts to practical models and innovate at the speed of our business; ship models and enhancements on an on‑going basis to empower partners to focus their Copilot efforts across Office.
Qualifications Required Qualifications
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 1 year of data‑science experience (e.g., managing structured and unstructured data, applying statistical techniques, and reporting results).
Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 3 years of data‑science experience.
Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 5 years of data‑science experience.
Equivalent experience.
At least 1 year of experience building generative AI applications.
At least 1 year of experience fine‑tuning language models.
Preferred Qualifications
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 3 years of data‑science experience.
Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 5 years of data‑science experience.
Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and at least 7 years of data‑science experience.
Equivalent experience.
At least 4 years of technical leadership in designing and scaling generative AI pipelines (retrieval‑augmented generation, fine‑tuning, evaluation frameworks) with deep knowledge of transformer models and architectures.
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check required upon hire/transfer and every two years thereafter.
Data Science IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. In the San Francisco Bay area and New York City metropolitan area, the range is USD $158,400 – $258,000 per year.
Microsoft will accept applications for the role until November 2, 2025.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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