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Research Scientist - Demand Forecasting

Meta· Engineering
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Hybrid (Menlo Park, CA)$184k - $257kFull-timePosted 1mo ago

About the role

Forecast and optimize server demand for Meta's data centers by building multi-horizon demand forecasts and demand-supply matching models, partnering with cross-functional teams to align data center designs and hardware roadmaps with demand.

Responsibilities

  • Own and drive a multi-horizon server/MW demand forecast (near term through 2-5+ years), producing trusted, reproducible releases to inform decisions
  • 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 leadership questions or unblock decisions
  • 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

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ 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
  • Experience with optimization solvers (Gurobi, CPLEX, Xpress, or OR-Tools) and with SQL + Python for modeling, analysis, and pipelines

Skills

Required:Operations research / optimizationForecastingPrototyping / production-grade modeling

Benefits

  • (Benefits information referenced but not listed in the provided text; omitted as per instruction)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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