Do you want to help shape the future of Copilot in Windows and AI investments through your analyses and insights? Are you passionate about delivering the next generation of user-facing AI scenarios to the hundreds of millions of people who use Windows every single day? Does the thought of partnering closely with product teams to influence the product in each stage of the lifecycle through data and insights excite you very much? Do you seek novel ways to gain insights from data and love to tell stories with those insights? Do you love driving growth in customer and business metrics by generating data driven hypotheses and running experiments? If so, we would like to talk to you!

As a Data Scientist II, you will be delivering the next generation of user-facing scenarios to the hundreds of millions of people who use Windows every single day. You will partner closely with product teams to influence the product in each stage of the lifecycle through data and insights. Drive growth in customer and business metrics by generating data driven hypotheses, designing and running experiments.

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

Responsibilities

Working closely with a variety of teams including senior leadership, product management, software engineers, design, User Research to understand the key business questions for customer-facing scenarios.
Identify instrumentation needs, define and set up metrics and OKRs, deeply analyze the data to identify insights and experiment ideas that move our business metrics.
Design and execute on Growth Experiments, analyze results to identify key insights.
Help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, and hypotheses and insights to drive growth.

Qualifications

Required Qualifications:

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 2+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical)
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical)
- OR equivalent experience.
1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.

Preferred Qualifications:

Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting.
Experience with Experiment Design and analysis.
Demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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