Principal Data Scientist

Microsoft Copilot is building an ecosystem of AI-powered consumer experiences across Search Copilot Edge MSN and beyond. The MAI Ecosystem Data Science team defines the metrics experimentation frameworks and measurement systems that shape how Microsoft AI evaluates success identifies opportunities and makes investment decisions at scale.

We are seeking a Principal Data Scientist to lead ecosystem-level measurement strategy across products and this role you will develop the scientific foundations that guide some of Microsofts most important AI investments partnering closely with product engineering business and executive leaders to influence strategy execution and resource allocation.

The ideal candidate combines deepexpertisein experimentation statistics metrics and causal inference with exceptional business judgment and influence. You thrive in ambiguity challenge assumptions with data and transform complex signals into clear decisions that drive product and business impact.

This is a unique opportunity to shape how Microsoft AI measures value across the ecosystem uncover new growth opportunities and help define the future of AI-powered consumer experiences.

Microsofts 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.

• Define the measurement strategy metrics and decision frameworks that guide product and investment decisions across the Microsoft AI ecosystem.
• Lead ecosystem-level analyses experimentation and causal inference to uncover opportunities quantify impact and drive business outcomes.
• Partner across product engineering business and executive leadership teams to shape strategy roadmap priorities and resource allocation.
• Identify emerging opportunities risks and market dynamics before they become visible in product-level metrics.
• Design and evolve North Star metrics and evaluation systems that accurately measure user value business impact and long-term ecosystem health.
• Drive alignment and execution across organizations through influence scientific rigor and trusted partnerships.
• Raise the bar for analytical excellence through technical leadership mentorship and best practices in measurement experimentation and data science.

Required 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 Masters 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 Bachelors 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 equivalent experience.

Preferred 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 Masters 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 Bachelors Degree in Data Science Mathematics Statistics Econometrics Economics Operations Research Computer Science or related field AND 12 years data-science experience (e.g. managing structured and unstructured data applying statistical techniques and reporting results)
  • OR equivalent experience.
• 6 years of experience in Python R C Java C# or similar programming languages.
• Demonstrated expertise in statistics experimentation causal inference and large-scale data analysis.
• Experience developing metrics evaluation frameworks and measurement systems that drive product and business decisions.
• Proven track record of identifying high-impact opportunities and solving complex ambiguous problems across multiple organizations.
• Experience influencing product strategy and driving alignment among stakeholders with differing objectives through data-driven insights and recommendations.
• Exceptional written and verbal communication skills with the ability to translate complex technical concepts into clear guidance for executive and non-technical audiences.
• Experience leading large cross-functional initiatives and collaborating effectively across product engineering business and analytics teams without direct authority.
• Experience building and evaluating production-scale data analytics machine learning or experimentation systems.

#MicrosoftAI

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142800 - $274800 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 $188000 - $304200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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.

Required Experience:

IC