Job description

Overview Want to shape the future of Copilot in Windows and bring next-generation AI experiences to hundreds of millions of people? Join us to turn data into product insights, test bold hypotheses, and drive customer and business growth. As a Data Science Manager , you will lead a team that partners closely with Windows and Copilot product teams, translating complex data into clear product strategy and decisions throughout the lifecycle. You will guide rigorous analysis, experimentation, and predictive modeling to uncover customer needs, evaluate AI experiences, and identify opportunities to grow customer and business metrics. This opportunity will allow you to deepen your expertise in user-facing AI, strengthen your strategic and people leadership, and expand your influence across product, engineering, and business teams. At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone. Responsibilities • Lead the team in designing success metrics and building reliable, multi-functional datasets from raw data; coach team members on exploration tools and analysis best practices. • Guide predictive and prescriptive modeling, statistical analysis, and experimentation to deliver actionable solutions and deploy evaluation results. • Provide strategic and thought leadership by identifying usage patterns and product gaps, then translating them into growth hypotheses and experiments. • Tell compelling stories with data to stakeholders, feature teams, and leadership, clearly communicating insights, recommendations, and business impact. Qualifications Required Qualifications • Doctorate in Data Science, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • OR Master's Degree in Data Science, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • OR Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • OR equivalent experience. • 3+ years people-management experience. Other Requirements • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications • Experience conducting exploratory data analysis, statistical inference, predictive modeling, including regression and classification and forecasting. • Experience designing experiments and analyzing results to evaluate hypotheses and inform decisions. • Demonstrated leadership in complex technical environments through critical thinking, technical expertise, clear direction, and consistent delivery of results. • Demonstrated experience communicating complex data and analytical findings to senior leaders through clear, concise, and actionable recommendations. #W+DJOBS Data Science M5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Requirements

Must-haves

Lead the team in designing success metrics and building reliable, multi-functional datasets from raw data; coach team members on exploration tools and analysis best practices.
Guide predictive and prescriptive modeling, statistical analysis, and experimentation to deliver actionable solutions and deploy evaluation results.
Provide strategic and thought leadership by identifying usage patterns and product gaps, then translating them into growth hypotheses and experiments.
Tell compelling stories with data to stakeholders, feature teams, and leadership, clearly communicating insights, recommendations, and business impact.
OR equivalent experience.
3+ years people-management experience.
Other Requirements
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

Experience conducting exploratory data analysis, statistical inference, predictive modeling, including regression and classification and forecasting.
Experience designing experiments and analyzing results to evaluate hypotheses and inform decisions.
Demonstrated leadership in complex technical environments through critical thinking, technical expertise, clear direction, and consistent delivery of results.
Demonstrated experience communicating complex data and analytical findings to senior leaders through clear, concise, and actionable recommendations.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: eightfold
Effort: medium