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Job Details
Posted date: Jul 13, 2026
There have been 10 jobs posted with the title of Senior Data & Applied Scientist all time at Microsoft.Category: Data Science
Location: Redmond, WA
Estimated salary: $190,400
Range: $119,800 - $261,000
Employment type: Full-Time
Work location type: 4 days / week in-office
Role: Individual Contributor
Description
OverviewWe are looking for a Senior Data & Applied Scientist to help teams make better product and business decisions through rigorous experimentation, solid statistical thinking, and practical use of AI in everyday analytical work.
This is a hands‑on role for someone who enjoys learning, questioning assumptions, and applying data science to real‑world decisions at scale. This is not a “reporting” role. It is a decision‑making role, where experimentation, judgment, and AI‑enabled workflows come together to shape real outcomes.
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.  
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Experimentation & A/B TestingDesign, analyze, and interpret A/B experiments end‑to‑end, from hypothesis formulation to final decisionChoose appropriate metrics, success criteria, and evaluation windows based on user behavior and business context.Identify and diagnose common experimentation issues (e.g., bias, interference, power limitations, metric sensitivity).Communicate experimental results clearly, including uncertainty, limitations, and trade‑offs.Decision Science & InsightsGo beyond “did it move the metric?” to explain why results happened and what decision should be madeCombine experimental evidence with observational analysis when appropriatePartner closely with product, engineering, and design stakeholders to influence direction using dataAI‑First Analytical WorkUse AI tools to accelerate analysis, exploration, and insight generation (e.g., faster hypothesis testing, code generation, narrative summaries).Continuously evaluate where AI can improve experimentation workflows, without compromising rigor or correctness.Develop good judgment about when to rely on automation vs. when deep statistical reasoning is required.Learning & Craft DevelopmentStay current on experimentation methods, causal inference, and applied statistics.Learn and adopt new tools, techniques, and best practices quickly.Contribute to shared standards and documentation that improve how teams run experiments and make decisions.
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:
Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ 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 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR equivalent experience. #MicrosoftAI
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.