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Research Scientist, Server Demand

Meta· Engineering
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Hybrid (Bellevue, WA)$271k - $347kFull-timePosted 1mo ago

About the role

Meta seeks a senior technical owner of Server Demand Planning to forecast long- and near-term server capacity demand by rack/hardware type and region, and to build optimization and forecasting models that align demand with supply across data centers and hardware roadmaps.

Responsibilities

  • Own the multi-horizon server/MW demand forecast long range (2-5+ years), by resource type and DC supply requirements.
  • 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 bridge forecast-to-actual gaps.
  • Partner with IDC 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.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 7+ years applying operations research / management science to real planning problems in demand planning, capacity planning, supply-demand matching, network optimization, or inventory
  • MS in a quantitative field (Operations Research, Industrial Engineering, Applied Math, Statistics, CS, or related), or equivalent experience
  • Deep operations-research toolkit: mathematical optimization (LP, MILP, stochastic/robust optimization), simulation, queuing theory, and probabilistic/statistical forecasting
  • Demonstrated ability to build BOTH production-grade models/systems (deployed, maintained, driving real decisions) AND lightweight/prototype models delivered fast under ambiguity
  • Strong demand-to-supply matching experience: reconciling forecasted demand against constrained supply, lead times, and inventory
  • Fluency with optimization solvers (Gurobi, CPLEX, Xpress, or OR-Tools) and with SQL + Python for modeling, analysis, and pipelines

Skills

Required:Operations Research / Management ScienceMathematical optimization (LP, MILP, stochastic/robust)Simulation, queuing theory, probabilistic/statistical forecastingSQL + PythonOptimization solvers (Gurobi, CPLEX, Xpress, OR-Tools)

Benefits

  • Benefits information is provided in the posting but not enumerated here.
Last updated Oct 23, 2026. Interested? Apply on the company site.

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