Data Scientist, Infrastructure Finance & ROI Strategy

DataJobs; Menlo Park (CA); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta in Menlo Park is seeking an experienced Data Scientist to support Infrastructure Finance. The role will build analysis, models, and decision frameworks that connect planning, financial models, and utilization data to capacity planning and operational practice.

You will partner with cross-functional teams to improve the cost and ROI of infrastructure investments, translate complex analytics into recommendations for VP and executives, and own end-to-end modeling from problem definition to

Qualifications

• Degree in a quantitative field 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, including 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 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.

Responsibilities

• Develop and own analytical models and decision frameworks that convert utilization, demand, performance, cost, and capacity constraints into metrics and scenarios for 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 to 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.

Education

Degree in a quantitative field or equivalent practical experience

Tools

SQL

Python

Job description

Meta in Menlo Park is seeking an experienced Data Scientist to support Infrastructure Finance. The role will build analysis, models, and decision frameworks that connect planning, financial models, and utilization data to capacity planning and operational practice.

You will partner with cross-functional teams to improve the cost and ROI of infrastructure investments, translate complex analytics into recommendations for VP and executives, and own end-to-end modeling from problem definition to