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Job Details
Posted date: Sep 09, 2025
There have been 61 jobs posted with the title of Senior Data Scientist all time at Microsoft.There have been 61 Senior Data Scientist jobs posted in the last month.
Category: Research, Applied, & Data Sciences
Location: Redmond, WA
Estimated salary: $188,900
Range: $119,800 - $258,000
Employment type: Full-Time
Travel amount: 25.0%
Work location type: 3 days / week in-office
Role: Individual Contributor
Description
The Xbox Planning & Insights team plays a central role in shaping the strategic direction of the Gaming organization by delivering business intelligence, analytics, and decision science that drive impact across the Xbox ecosystem. We partner cross-functionally to optimize performance, inform investment decisions, and ensure alignment with long-term goals. Whether supporting Game Pass content strategy, membership planning, or platform insights, our work is grounded in a customer centric approach and a commitment to execution excellence—from idea to measurable outcomes. We’re looking for candidates who are comfortable navigating evolving or complex challenges, bring thoughtful and data-driven decision-making, and are passionate about building the future of gaming.As a Senior Data Scientist on the Gaming Experimentation team you will help us accelerate product development using A/B experiments and statistical analysis. You will have the opportunity to shape the use of A/B experiments in the Xbox organization, driving an end-to-end experimentation lifecycle including hypothesis generation, experimental design, implementation, and analysis. You will guide your stakeholders in their decision-making and collaborate with product teams to understand the customer experience. This opportunity will allow you to leverage your passion for data and the scientific method, apply your research knowledge to improve Xbox products and services, and be at the cutting edge of business strategies in Gaming.
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.
Work with product managers, engineering, user researchers and other data scientists to formulate data-driven and scientifically rigorous answers to business problems and customer needs. Integrate A/B testing and feature rollout capabilities into new products and services Build high-quality, actionable, trustworthy metrics to measure customer experience and business impact Advise on experimental design, target audience filters, optimal holdout groups, and statistical power. Drive deep-dive analysis, post-hoc investigations, and interpretation of results. Grow a culture of experimentation through education, training, documentation, and one-on-one coaching Embody our Culture & Values
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.Proficiency in statistical analysis tools and programming languages (e.g., Python, R, SQL) with a focus on reproducibility and clarity.Experience with statistical hypothesis testing (e.g. randomized controlled experiments or A/B testing) in a research or industry setting. Preferred Qualifications:
Familiarity with building and validating metrics that reflect customer experience, product performance, or business impact. Ability to translate complex data insights into clear, actionable recommendations for cross-functional teams. Experience mentoring or supporting others in experimentation practices, whether through documentation, workshops, or coaching. Comfortable working in collaborative, interdisciplinary environments, especially with product managers, engineers, and user researchers. 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 $158,400 - $258,000 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
Microsoft will accept applications for the role until September 16th, 2025.
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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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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