Microsoft · 12 hours ago
Principal Data Scientist
Redmond, WA
Full-time
Hybrid
Senior Level, Lead/Staff
$140K/yr - $275K/yr
5+ years expMicrosoft is seeking a Principal Data Scientist to lead the technical vision and quality systems for Windows-wide experimentation. This role involves defining best practices for experimentation, owning quality systems, and building partnerships across teams to enhance decision-making processes.
Artificial Intelligence (AI)Enterprise SoftwareCloud ComputingCyber SecuritySoftwareProfessional ServicesInformation TechnologyAgentic AIApplication Performance ManagementBusiness DevelopmentDevOpsInformation ServicesManagement Information SystemsNetwork Security
Responsibilities
Set 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, higher‑quality decisions
Own experimentation quality systems. Maintain and evolve guardrails, scorecards, and decision mechanisms to deliver trustworthy insights at Windows scale. Lead root‑cause investigations and post‑mortems when results conflict or regressions appear, and drive fixes into practice
Build next‑generation 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 hands‑on technical and career mentorship for earlier‑career 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
Embody our culture and values
Qualification
Required
Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ 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 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience
Preferred
2+ years of additional experience applying data science techniques in a business or applied research setting
2+ years experience working on, or in close partnership with, an experimentation platform or other highly scaled Data Science capability
Demonstrated track record of landing experimentation standards and influencing adoption across multiple teams or organizations, improving decision quality and time‑to‑decision at product scale
Deep expertise in advanced experimentation methods, such as complex experimental designs, adaptive experiments (e.g., bandits), anytime‑valid approaches, causal inference, and experimentation in multi‑sided marketplaces
Experience collaborating with engineering and product teams to build and scale experimentation platforms and large‑scale measurement systems
History of mentoring data scientists and upskilling teams through coaching, leading learning forums, and contributing to hiring practices
Active engagement with the broader experimentation and causal inference community (e.g., publishing, conference talks, or open‑source contributions)
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-16
Morningstar.com
2026-01-16
Company data provided by crunchbase