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You’ll turn ambiguous business problems into durable, repeatable data science approaches that improve delivery quality across teams and industries. The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is a global consulting and engineering organization that supports Microsoft’s most complex and leading-edge customer engagements. As a Principal Data Scientist you will combine technical knowledge with broad strategic influence across multiple customer engagements, solution areas, and cross-functional teams.
Job Responsibility:
Drives alignment between customer business priorities and data science strategy across complex engagements
Frames ambiguous business problems into scalable data science opportunities
Defines the data readiness strategy for complex engagements
Defines modeling strategies for ambiguous, high-impact business problems
Defines evaluation frameworks that connect model performance, business impact, operational health, and responsible AI requirements
Serves as a recognized technical and domain leader
Provides principal-level technical leadership in code quality, maintainability, production readiness, and debugging practices
Partners with customers and Microsoft cross-functional stakeholders to define strategic roadmaps
Acts as a trusted advisor to customer and Microsoft stakeholders.
Requirements:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
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.
Nice to have:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience