Data Scientist, Infrastructure Finance & ROI Strategy

Meta; Menlo Park (CA); On-site; USD 210,000 - 281,000; 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 models and decision frameworks that connect planning, financial models, and utilization data to capacity planning and operational practice, helping leaders improve cost and ROI of compute, storage, data centers, and power investments.

The role sits at the intersection of data science, finance, and infrastructure planning, partnering with Infrastructure Planning,

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 decisions.
• Experience applying data science to operational planning, resource allocation, or efficiency decisions and translating models into decision tools (including spreadsheets).
• Experience using SQL and Python to analyze large datasets and build reusable models.
• Experience communicating quantitative recommendations to executives and influencing decisions across organizations.

Responsibilities

• Develop analytical models and decision frameworks translating utilization, demand, cost, and capacity into metrics for multi-year capacity plans and investment priorities.
• Identify, size, and pressure-test utilization and efficiency opportunities in ambiguous problem spaces.
• Partner with Planning, Capacity Engineering, and Operations to embed recommendations into planning and reviews.
• Align data definitions, analytical methods, and financial implications with Finance teams and establish model validation standards.
• Synthesize complex analysis into clear recommendations for VP and executives, influencing cross-functional decisions without direct authority.

Skills

SQL

Python

Data analysis

Econometrics

Operations research

Stakeholder communication

Education

Bachelor's degree in a directly related field

Degree in a quantitative field (Engineering, Math, Science) or equivalent practical experience

Job description

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

The role sits at the intersection of data science, finance, and infrastructure planning, partnering with Infrastructure Planning,