Microsoft Principal Data Scientist 

United States, Washington 

301472205

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) 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.

• 5+ years of experience with one or more of the following languages: Python, R, SQL, C++/C#.
• 1+ year working on GenAI products and LLM technologies.
• 5+ years of industry experience leading data science efforts using ML, LLM, RLHF, SFT, etc.

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.

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• Ability to function well in “startup-like” fast-paced environments, and deliver data science solutions that are both practical and analytically sound.
• Knowledge and intuition of consumer-facing products and applications that leverage AI or other algorithmic techniques.
• Comfortable operating in a complex, cross-functional organization where collaboration with other teams is essential to the success of your team.
• Experience with data engineering, investing in data architectures, and building experimentation platforms.
• 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 7+ years experience conducting research as part of a research program (in academic or industry settings).
• 5+ years experience developing and deploying live production systems, as part of a product team.
• 7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

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

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