Microsoft

Senior Applied Scientist

United States, Washington, Redmond, California, Mountain ViewSenior individual contributorResearch & Science

Listed on Microsoft’s official careers site. Posted October 21, 2026. Check that it is still open and apply there.

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Job description

Masters the following areas

mechanism design for online auctions, A/B experimentation and related statistical analysis, data pipeline creation on different platforms. Uses expertise to identify the right technique to use when examining a problem. Independently works to identify areas with the highest impact for business metrics. Reviews business requirements and incorporates research to meet business goals. Provides strategic direction for the kinds of data used to solve problems and applies deep subject matter knowledge to support business impact.

Builds data pipelines and software to support rapid implementation of solutions, experimentation, dashboards, and diagnostics. Brings new technology and approaches into production. Documents work in progress and experimentation results and share findings to promote innovation. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's

Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) Master's Degree in

Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

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