Responsibilities
Lead ecosystem-level analyses across XBOX experiences. Inform and influence high-stake C-level investment decisions through data-driven insights.
Apply econometric, statistical, and causal inference methods to evaluate growth and optimization opportunities on audience reach, engagement and monetization.
Design, build and evaluate experiments and incrementality measurement frameworks and models to validate hypotheses and measure investment ROI.
Leverage agentic AI tools to create reusable analytical assets and self-service capabilities.
Mentor team members and raise the analytical bar across the organization.
Qualifications
Required Qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master'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 techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
Preferred Qualifications
Expertise in SQL, Python or R and agentic AI tools.
Experience in experimentation, causal inference, forecasting, and machine-learning modeling in general.
Executive communication skills to translate ambiguous business questions or technical details into structured analyses and actionable recommendations.
Ability to influence stakeholders decisions through data-driven recommendations.
#GamingJobs
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
Skills Required
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field, plus at least 1 year of data science experience; or equivalent experience
- Master’s degree in a listed quantitative or computer science field, plus at least 3 years of data science experience; or equivalent experience
- Bachelor’s degree in a listed quantitative or computer science field, plus at least 5 years of data science experience; or equivalent experience
- Expertise in SQL, Python, or R and agentic AI tools
- Experience with experimentation, causal inference, forecasting, and machine-learning modeling
- Executive communication skills for translating ambiguous business or technical questions into structured analyses and actionable recommendations
- Ability to influence stakeholder decisions through data-driven recommendations
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
