Research Scientist, Server Demand
- Location
- Bellevue, WA
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 7+ years
- Education
- Bachelor's degree
- Listed
- 28 days ago
Skills & highlights for this role
- operations research
- mixed-integer linear programming
- stochastic optimization
- Python
- SQL
Also useful
- Gurobi
- CPLEX
- Xpress
- OR-Tools
- Kinaxis
- SAP IBP
- o9
- Blue Yonder
About the role
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- Research Scientist, Server Demand
- Research Scientist, Server Demand
- Bellevue, WA +2 locations
- Engineering
- + 1 more
Meta runs one of the largest server fleets on earth, and every product bet (AI training, ranking, inference, storage) turns into a demand for compute that we must forecast, shape, and match to a physical supply of servers, racks, power, and data center space.
As the senior technical owner of Server Demand Planning, you own the demand side of that equation and close the loop with supply: you forecast long- and near-term server capacity demand by rack/hardware type and region, and you build the operations-research models that match that demand to supply so we land the right servers, in the right place, at the right time.
You set the modeling approach for the function, decide when to ship a production-grade optimization system versus a fast lightweight model to unblock a decision, and act as the connective tissue between product/service capacity owners, capacity engineering, supply chain, data center planning, and finance.
Research Scientist, Server Demand 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.
Minimum 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
Preferred Qualifications
- PhD in Operations Research, Industrial Engineering, Management Science, or a related quantitative field
- Direct experience with server/compute or data center capacity planning at hyperscale
- Statistical/ML forecasting depth (time series, hierarchical/probabilistic forecasting, forecast reconciliation)
- Experience with planning platforms (Kinaxis, SAP IBP, o9, Blue Yonder, Demantra, E2open) and internal capacity tools (MCP/ICPC, Capacity Explorer)
- Publications, patents, or recognized technical leadership in OR / optimization / forecasting
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Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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United States of America: $271,000/year to $347,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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This Research Scientist, Server Demand position at Meta is located in Bellevue, WA. Always check Meta's application page for specific state eligibility or relocation policies.
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For the Research Scientist, Server Demand role, Meta highlights 7+ years of relevant experience; a bachelor's degree; experience with operations research, mixed-integer linear programming, stochastic optimization, Python, SQL. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
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