New 
Principal Data Scientist
 Microsoft | |
remote work
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 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Sep 04, 2025 | |
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OverviewHelp shape how Windows is built and shipped. Lead the technical vision and quality systems for Windowswide experimentation to deliver fast, safe, trustworthy decisions at scale. Do you want to shape how Windows is built and shipped? Join the team behind the experimentation engine that powers product innovation and deployment decisions. At Windows Experimentation, we help teams move fast and ship smart by delivering trusted insights through randomized controlled trials. As a Principal Data Scientist on the Windows Experimentation team, you will define and execute the technical vision and best practices for Windowswide experimentation-spanning safe software deployment and product development. You'll own the design and adoption of measurement and decision frameworks that make experimentation fast, reliable, and trustworthy at scale. This role emphasizes technical leadership, ownership, and influence across organizational boundaries. You'll build durable partnerships and practices with product, Engineering, and Data Science teams across Windows-actively shaping and raising the bar on experimentation culture and decision quality. This position is flexible to remote work within the United States. 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.
ResponsibilitiesSet and land experimentation best practices across Windows. Define and implement clear, practical guidance on experimental design, measurement, and decision frameworks so teams can make faster, higherquality decisions. Own experimentation quality systems. Maintain and evolve guardrails, scorecards, and decision mechanisms to deliver trustworthy insights at Windows scale. Lead rootcause investigations and postmortems when results conflict or regressions appear, and drive fixes into practice. Build nextgeneration measurement capabilities. Partner with Windows Experimentation colleagues to improve insight generation while reducing manual work through automation and reusable assets. Lead through influence to drive alignment and adoption. Create clarity across Windows PM, Engineering, and Data Science teams; land common practices; reduce duplicated effort; improve decision quality. Multiply impact by developing talent and raising the bar for the craft. Provide handson technical and career mentorship for earliercareer data scientists; lead reviews and learning sessions; and contribute to hiring practices. Represent Windows Experimentation externally and drive innovation. Share work at academic and industry forums, stay current on advances in experimentation and causal inference, pilot new approaches, and embed successful techniques into practice and the platform. | |