Data Scientist, Infrastructure Finance

Meta Careers; Menlo Park (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Meta seeks an experienced Data Scientist to improve how we plan, utilize, and drive ROI from large-scale infrastructure. You will build analysis, models and decision frameworks that connect planning, financial models, and utilization data to capacity planning and operational practice, helping leaders improve the cost and ROI of Meta's compute, storage, data center, and power investments.

This role sits at the intersection of data science, finance, and infrastructure planning.

Responsibilities

• Develop and own analytical models that translate utilization, demand, performance, cost, and capacity constraints into metrics and scenarios for multi-year capacity plans.
• Identify and pressure-test utilization and efficiency opportunities in ambiguous problem spaces.
• Partner with planning, engineering, and operations to embed recommendations into planning assumptions, goals, and operating reviews.
• Align data definitions, methods, and financial implications with cross-functional teams and set standards for model validation and reproducibility.
• Synthesize complex analysis into clear recommendations for VP and executive stakeholders.

Job description

# Data Scientist, Infrastructure FinanceMenlo Park, CA Analytics+ 5 moreApply nowMeta is seeking an experienced data scientist to improve how we plan, utilize and drive ROI from large-scale infrastructure. You will build analysis, models and decision frameworks that connect planning, financial models, and utilization data to capacity planning and operational practice, helping leaders improve the cost and ROI of Meta's compute, storage, data center, and power investments.This role sits at the intersection of data science, finance, and infrastructure planning. You will partner with Infrastructure Planning, Capacity Engineering, Infrastructure Data Science, Infrastructure Finance, and Product Finance to turn technical and operational signals into clear investment and operating decisions.---## Data Scientist, Infrastructure Finance 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