Principal Data Scientist - CoreAI

At CoreAI, we empower developers and organizations to shape the future with Artificial Intelligence (AI). Our Growth and Data Science team in Microsoft’s Developer Division accelerates this mission by delivering insights, models, and tools that guide product strategy and unlock growth across our developer ecosystem.  

We’re looking for Principal Data Scientists with a track record of delivering product wins at global scale, elevating data cultures, and thriving in ambiguous, fast-evolving environments. In this role, you will measure what matters, surface actionable insights, run rigorous experiments, and deliver AI capabilities that developers love and enterprises trust.  

Join us for a front-row seat to AI transformation and innovation at Microsoft scale. Your work will directly impact tens of millions of developers globally – including 95% of the Fortune 500 -- across products like GitHub Copilot, the Visual Studio family of editors, Azure developer experiences, and next-generation coding agents. 

Ready to define the future of developer productivity with data and AI? We’d love to hear from you. 

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.

Responsibilities

• Create customer and business impact by identifying and leading high-leverage data science and analytics opportunities across product areas 

• Shape organizational strategy, technical direction, and multi-million dollar investments through end-to-end project leadership, blending strategic influence with deep technical execution 

• Drive alignment across executives and diverse stakeholders through trusted partnerships and compelling communication 

• Establish and operationalize metrics, experimentation frameworks, and causal inference approaches tailored to dynamic AI systems and enterprise contexts 

• Advance and scale data, analytics, experimentation, and machine learning infrastructure and self-serve tools to empower thousands of colleagues to make smarter, faster decisions 

• Mentor other data scientists and champion best practices to uplift our craft and collaborative culture 

• Leverage AI to accelerate workflows and amplify team productivity 

Qualifications

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 
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience  
  • OR equivalent experience.  

• 5+ years of experience leading data science and analytics projects that delivered measurable product and growth wins, including deploying Machine Learning (ML) models to production 

• 5+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R  

• 5+ years of experience designing and analyzing experiments and causal inference studies 

• Experience using AI tools in data science and analytics workflows 

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications: 

• Experience working on AI/ML-powered products, recommendation systems, developer tools, and/or cloud services 

• Experience implementing and scaling MLOps practices in production 

• Experience prototyping and deploying data products 

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

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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