Principal Data Scientist

• 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, 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.
• Embody our culture and values.

Required Qualifications:

• 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 Qualifications:

• 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 timetodecision at product scale.
• Deep expertise in advanced experimentation methods, such as complex experimental designs, adaptive experiments (e.g., bandits), anytimevalid approaches, causal inference, and experimentation in multisided marketplaces.
• Experience collaborating with engineering and product teams to build and scale experimentation platforms and largescale 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 opensource contributions).

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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.