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Data Scientist, Infrastructure Finance

Meta· Analytics
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Menlo Park, CA$210k - $281k + bonusFull-timePosted 4w ago

About the role

Data Scientist role focusing on improving planning, utilization, and ROI for large-scale infrastructure. Builds models and decision frameworks linking planning, financial models, and utilization data to capacity planning and operational practice across Meta’s compute, storage, data center, and power investments.

Responsibilities

  • Develop and own analytical models and decision frameworks that translate utilization, demand, performance, cost, and capacity constraints into metrics and scenarios that inform multi-year capacity plans, investment priorities, and efficiency goals
  • Independently identify, size, and pressure-test utilization and efficiency opportunities in ambiguous problem spaces
  • Partner with Infrastructure Planning, Capacity Engineering, and Operations to embed recommendations into planning assumptions, goals, and operating reviews
  • Partner with Infrastructure Data Science, Infrastructure Finance, and Product Finance to align data definitions, analytical methods, and financial implications, and set standards for model validation, documentation, auditability, and reproducibility
  • Synthesize complex analysis into clear recommendations for VP and executive stakeholders, influencing cross-functional decisions without direct authority

Qualifications

  • Bachelor's degree in a directly related field, or equivalent practical experience
  • Degree in a quantitative field (Engineering, Math, Science) or equivalent practical experience
  • 10+ years of experience applying analysis, data science, statistics, economics, or operations research to business and investment decisions
  • Experience applying data science to operational planning, resource allocation, or efficiency decisions and carrying ambiguous work from problem definition through implementation and measurable outcome
  • Experience translating scenario and sensitivity models into decision tools used by business partners, including spreadsheets
  • Experience using SQL and Python, or equivalent tools, to independently analyze large, messy datasets and build, maintain, and improve reusable analytical models
  • Experience communicating quantitative recommendations to executives and influencing decisions across organizations

Skills

Required:analytical modelingutilization analysisscenario modelingpresentation to executivesSQLPython

Benefits

  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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