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At CoreAI, we empower developers and organizations to shape the future with Artificial Intelligence (AI). Our Growth and Data Science team spans both Microsoft’s Developer Division and AI Foundry. We accelerate CoreAI’s mission by delivering insights, reporting, models, and tools that guide product strategy and unlock growth across our developer ecosystem. We’re looking for a Principal Data Scientist - CoreAI with a track record of cross-team partnership, effective communication with engineering, executive leadership and sales, the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft’s developer-focused AI suite and drives product growth.
Job Responsibility:
Supply executives with time-critical analyses that steer major investment decisions
Drive alignment across executives and diverse stakeholders through trusted partnerships, compelling analysis, and effective communication
Identify and prioritize high ROI data opportunities for your individual work and the broader team
Contribute actively to the infrastructure and culture needed to scale quantity and quality of data insights across CoreAI
Mentor other data scientists, engineers, and PMs
Operationalize models and reporting
Leverage AI to accelerate workflows and amplify team productivity
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
Ability to meet Microsoft, customer and/or government security screening requirements
Pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
5+ years of experience leading data science and analytics projects that delivered measurable product and growth wins
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
3+ years of experience contributing to scaled data pipelines supporting operationalized reports, models and analyses
Experience using AI tools in data science and analytics workflows
Experience both prototyping and deploying data products