Microsoft is seeking a Data Scientist II to drive AI-powered innovation across the software development lifecycle for Windows, by embedding data-driven thinking into product development and delivering actionable insights that influence product direction.
Requirements
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience OR equivalent experience.
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience OR equivalent experience.
- Extensive experience in exploratory data analysis, statistical inference, predictive modeling (e.g., regression, classification), and time-series forecasting to uncover trends and drive decision-making.
- Designed and analyzed experiments to validate hypotheses, optimize product features, and measure impact across diverse business scenarios.
- Built and maintained scalable data pipelines to support machine learning workflows, enabling efficient data ingestion, transformation, and model deployment.
- Demonstrated leadership in complex problem spaces through strategic thinking, technical depth in ML and data engineering, and a relentless drive for innovation and progress.
Responsibilities
- Partner cross-functionally with product, engineering, design, and research teams to embed data-driven thinking throughout the product lifecycle.
- Experience in building data pipelines.
- Deliver actionable insights and predictive models that shape product direction and customer engagement.
- Define instrumentation requirements, establish metrics and OKRs, and drive personalized features.
- Review and innovation on data analysis, modeling techniques, and evaluation methods.
- Champion thought leadership, strategic influence, and effective communication in complex, ambiguous environments.
- Design and execute growth experiments, analyze business metrics, and evaluate ROI to guide strategic decisions.
Other
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements including the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- 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.
