Principal Data Scientist

Quick Facts

• Role: Principal Data Scientist (global scope)
• Focus: Analytics strategy, executive reporting, metric governance, and AI innovation for capacity planning toward an FY27 480 MW goal

Description

Own the analytics vision, operating model, and multi-year roadmap for OKR and program reporting, including executive narratives and trusted metrics. Lead development and governance of key reporting products and heatmaps, establish end-to-end data contracts and quality controls, and drive decision intelligence for senior leadership. Build predictive, prescriptive, and AI-assisted solutions to improve capacity placement, reservation management, anomaly detection, and forecasting.

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 (definitions, targets, attribution, forecasts, executive narratives).
• Lead governance and development 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.
• Design predictive, prescriptive, and AI-assisted solutions for capacity placement, reservation management, anomaly detection, and operational responsiveness.
• Set technical standards for scalable data products, semantic models, experimentation, performance, reliability, and responsible AI.
• Lead complex cross-functional initiatives when ownership and source-system definitions are ambiguous.
• Communicate strategy, progress, tradeoffs, and recommendations via executive reporting and business reviews.
• Mentor data scientists, analysts, and engineers to raise analytical maturity.

Benefits

• Base pay range (U.S.): USD $142,800–$274,800 per year (different ranges apply for San Francisco Bay Area and New York City metro).
• Base pay range for those locations: USD $188,000–$304,200 per year.
• Eligible for benefits and other compensation (additional details provided in the pay/benefits link).
• Security screening required, including a Microsoft Cloud background check upon hire/transfer and every two years.

Requirements

• Doctorate + 3+ years data-science experience OR Master’s + 5+ years OR Bachelor’s + 7+ years OR equivalent experience.
• 3+ years people-management experience.
• Ability to pass required security screenings.