Research Scientist, Server Demand Forecasting

Own the multi-horizon server/MW demand forecast long range (2-5+ years), by resource type and region, and the DC supply requirements it drives Aggregate and normalize demand signals from short term demand and product groups, into a single trusted statistical long term demand plan Formulate and solve the demand-supply matching problem using operations-research models that reconcile forecasted demand with hardware roadmaps, cooling, lead times, and power constraints to inform the Plan of Record Build across the full modeling spectrum: production-grade optimization and forecasting systems and prototype models and heuristics that answer a leadership question or unblock a decision Set functional standards: define the operating model, bridge short- and long-term forecasts, track accuracy and supply-matching metrics, and close forecast-to-actual gaps Partner with data center engineering, site selection, and hardware strategy teams to align next-generation data center designs, rack sizing, and hardware roadmaps with demand, eliminating stranded power, cooling, and space capacity Set the multi-year demand-planning and supply-matching strategy across Infrastructure orgs, spotting capacity risks and opportunities years out and steering decisions before they are expensive to reverse Grow the technical bench: mentor senior ICs across the planning org and raise the modeling bar company-wide