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Research Scientist, Server Demand Forecasting

Meta· Engineering
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Menlo Park, CA$219k - $301kFull-timePosted 1mo ago

About the role

Meta seeks a Research Scientist to lead server demand forecasting and supply-matching for infrastructure. The role involves developing long-range and multi-horizon demand plans, building production-grade optimization and forecasting systems, setting standards and operating models, and guiding capacity planning across data centers, hardware strategy, and supply chain.

Responsibilities

  • 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

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ 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
  • Experience reconciling forecasted demand against constrained supply, lead times, and inventory in a planning or capacity environment: 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 / optimizationForecastingProduction-grade modelingSQLPython

Benefits

  • Benefits information is provided in the job posting under Meta benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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