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Research Scientist - Demand Forecasting

Meta· Engineering
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Menlo Park, CA$154k - $217kFull-timePosted 1mo ago

About the role

Technical owner within Server Demand Planning responsible for forecasting server demand and matching demand to hardware supply across regions and rack types, leveraging optimization and forecasting models to inform data center capacity and infrastructure planning.

Responsibilities

  • Own and drive a multi-horizon server/MW demand forecast (near term through 2-5+ years), producing trusted, reproducible release 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 a leadership question or unblock a decision
  • 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
  • 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
  • Experience with demand-to-supply matching: 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 / optimizationProduction-grade modelingForecastingOptimization solversSQLPython

Benefits

  • benefits (listed in posting)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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