Infra Finance Data Scientist for ROI & Capacity Planning

AI Chopping Block, Inc.; Menlo Park (CA); On-site; USD 230,000 - 320,000; Full time

Job summary

Meta 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, partnering with

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 ops research to business decisions.
• Experience applying data science to operational planning and efficiency decisions.
• Experience translating scenario and sensitivity models into decision tools for partners.
• Experience using SQL and Python to analyze large datasets and build reusable models.
• Experience communicating quantitative recommendations to executives and influencing decisions.

Responsibilities

• Develop and own analytical models and decision frameworks for utilization, demand, and capacity planning.
• Independently identify and pressure-test utilization and efficiency opportunities.
• Partner with planning, engineering, and operations to embed recommendations into plans and reviews.
• Align data definitions, methods, and financial implications with finance teams and set standards for validation and reproducibility.
• Synthesize complex analysis into clear recommendations for VP and executives.

Skills

Data analysis

Statistics

Economics

Operations research

Executive communication

Education

Bachelor's in related field

Quantitative degree

Tools

SQL

Python

Job description

Meta 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, partnering with