Research Scientist, Server Demand Forecasting

What you'll do

• Own long- and near-term server and megawatt demand forecasts and the data-center supply requirements they drive.
• Build and guide forecasting and operations-research models that match demand to supply, accounting for hardware roadmaps, cooling, lead times, and power constraints.
• Set planning strategy and standards, partner across Infrastructure teams, and mentor senior individual contributors.

What they ask for

• Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; and an MS in a quantitative field or equivalent experience.
• 8+ years applying operations research or management science to real planning problems.
• Deep operations-research toolkit, including mathematical optimization, simulation, queuing theory, and probabilistic/statistical forecasting.
• Experience building production-grade and prototype models; reconciling demand with constrained supply; and using optimization solvers, SQL, and Python.

Nice to have

• PhD in Operations Research, Industrial Engineering, Management Science, or a related quantitative field.
• Statistical/ML forecasting depth, hyperscale server or data-center capacity planning experience, or recognized technical leadership in OR, optimization, or forecasting.

Pay

$219,000/year to $301,000/year USD base salary; bonus and equity amounts not stated

Tools

Gurobi, CPLEX, Xpress, OR-Tools, SQL, Python, Kinaxis, SAP IBP