Finance Jobs in Menlo Park, CA

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1mo ago

Data Scientist, Infrastructure Finance

Meta Menlo Park, CA

Menlo Park, CA

1mo ago Closed

$210k - $281k/yr Full time Data Data Analysis Data Analytics

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

Meta’s Infrastructure Finance team is hiring an experienced Data Scientist to connect utilization and planning inputs with financial modeling and operational decision-making. This onsite role in Menlo Park, CA focuses on building analysis, models, and decision frameworks that help improve the cost and ROI of Meta’s infrastructure investments.

What you’ll do

Develop and take ownership of analytical models and decision frameworks that translate utilization, demand, performance, cost, and capacity constraints into metrics and scenarios for multi-year capacity plans, investment priorities, and efficiency goals
Independently spot, size, and pressure-test utilization and efficiency opportunities in ambiguous problem areas
Work with Infrastructure Planning, Capacity Engineering, and Operations to incorporate recommendations into planning assumptions, goals, and operating reviews
Partner with Infrastructure Data Science, Infrastructure Finance, and Product Finance to align data definitions, analytical approaches, and financial implications, while setting standards for model validation, documentation, auditability, and reproducibility
Summarize complex analysis into clear recommendations for VP and executive stakeholders, influencing cross-functional decisions without direct authority

Minimum qualifications

Education: Degree in a quantitative field (Engineering, Math, Science) or equivalent practical experience
Experience: 10+ years 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 taking ambiguous work from problem definition through implementation and measurable outcomes
Experience translating scenario and sensitivity models into decision tools used by business partners, including spreadsheets
Experience using SQL and Python (or equivalent) 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

Preferred qualifications

Ability to integrate AI tools to optimize or redesign workflows and deliver measurable impact such as efficiency gains and quality improvements
Experience implementing responsible, ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews
Ongoing AI skill development, such as prompt/context engineering and agent orchestration, and staying current with emerging AI technologies
Experience evaluating ROI, marginal cost, cost-to-serve, and capital-allocation trade-offs
Use of AI tools to accelerate analytical workflows while maintaining responsible validation, reproducibility, and sensitive-data handling
Experience with forecasting, scenario modeling, uncertainty quantification, and causal inference or econometrics
Experience with infrastructure planning, capacity engineering, operations, cloud or compute economics, or other capital-intensive systems
Familiarity with AI infrastructure economics and data center constraints, including training and inference cost drivers, accelerator utilization, power, and cost-performance-utilization trade-offs across CPUs, GPUs, and storage
Familiarity with data center, semiconductor, cloud, server, networking, and software system architecture concepts

Role details

Location: Menlo Park, CA (onsite)
Salary: USD 210,000 - 281,000 per year
Technologies: SQL, Python

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