Data Scientist, Infrastructure Finance

Meta • Menlo Park, CA • 2h ago

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. 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.

Required Skills:

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

Minimum 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 and investment decisions

Experience applying data science to operational planning, resource allocation, or efficiency decisions and 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, or equivalent tools, 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:

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ongoing AI skill development (e.g., prompt/@context engineering, agent orchestration) and staying current with emerging AI technologies

Experience evaluating ROI, marginal cost, cost-to-serve, and capital-allocation trade-offs

Demonstrated use of AI tools to accelerate analytical workflows and improve work quality, with responsible practices for 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 concepts in data center, semiconductor, cloud, server, networking, and software system architecture

Public Compensation:

$210,000/year to $281,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereo@types, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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