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Principal Data Scientist

Microsoft· Data Science
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Redmond, WA, Atlanta, GA, Phoenix, AZ, San Antonio, TX, Washington, D.C.$142.8k - $274.8kfull-timePosted 4d ago

About the role

Senior data science leadership role focused on defining analytics strategy, governance, and AI innovation to support Microsoft CO+I Fill-Up Colo’s FY27 goal of packing 480 MW of capacity. Owns OKR/program reporting, executive narratives, and trusted metrics across capacity planning, engineering, deployment, finance, operations, and product teams. On-site full-time Microsoft employee with global scope and cross-organizational influence.

Responsibilities

  • Define the analytics vision, operating model, and multi-year roadmap for Fill-Up Colo OKR and program reporting.
  • Own the authoritative measurement framework for the FY27 480 MW goal, including metric definitions, targets, attribution, forecasts, and executive narratives.
  • Lead development and governance of 480 MW and deployed-power heatmaps, MW Fill Rate, Colo Tracker, and locked-reservation alerting.
  • Establish data contracts, lineage, quality controls, reconciliation standards, and decision rights across capacity, power, network, reservation, deployment, and financial data.
  • Identify portfolio-level risks and opportunities, quantify business impact, and drive decisions with senior leadership and partner organizations.
  • Design predictive, prescriptive, and AI-assisted solutions that improve capacity placement, reservation management, anomaly detection, forecasting, and operational responsiveness.
  • Set technical standards for scalable data products, semantic models, experimentation, performance, reliability, and responsible AI.
  • Lead complex cross-functional initiatives where requirements, ownership, and source-system definitions are ambiguous or evolving.
  • Communicate strategy, progress, tradeoffs, and recommendations through concise executive reporting and business reviews.
  • Provide technical direction and mentorship to data scientists, analysts, and engineers, raising the organization's analytical maturity.
  • Embody our Culture and Values.

Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience OR Masters AND 5+ years OR Bachelors AND 7+ years OR equivalent experience.
  • 3+ years people-management experience.

Skills

Required:Data science leadershipExecutive metrics and governance
Nice to have:SQLPython/RDatacenter capacity planning
Last updated Oct 23, 2026. Interested? Apply on the company site.

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