Data Scientist, Finance (Infrastructure & AI)

Meta is seeking a data science leader to shape data-driven financial strategy across infrastructure and AI. You'll translate advanced modeling into decisions that guide company-wide investment, resource allocation, pricing, and long-term planning, helping leaders act under significant uncertainty. You'll work closely with cross-functional partners across finance, infrastructure, and product teams, including Meta Superintelligence Labs (MSL).
The ideal candidate combines strong analytical skills with business acumen — someone who can navigate ambiguous, early-stage problem spaces, identify where Meta can deploy resources more efficiently or improve pricing and monetization, and translate those insights into quantified opportunities and clear recommendations.
Data Scientist, Finance (Infrastructure & AI) Responsibilities
Develop and own analytical models and frameworks that inform multi-year infrastructure planning, investment prioritization, and the financial strategy of Meta's AI businesses
Build frameworks to evaluate ROI on compute, infrastructure, data, and related spend across products, features, and business segments, and use those insights to inform investment and resource-allocation decisions
Develop a rigorous understanding of the unit economics of Meta's AI products and business models — contribution margin, cost-to-serve, marginal cost, lifetime value, and the trade-offs that drive them — to inform strategy, pricing, and monetization
Independently identify efficiency, financial, and monetization opportunities — surfacing where Meta can get more from its investments — and rapidly build the analysis to size and pressure-test them, operating with minimal guidance in ambiguous problem spaces
Partner with finance, infrastructure, and product teams (including MSL) to define success metrics, size financial opportunities, align on technical methodology, and evaluate trade-offs across competing strategic priorities
Synthesize data into clear, business-relevant recommendations and communicate their implications to VPs and executive stakeholders
Design rigorous research and hypothesis-testing approaches, and oversee the quality of analytical outputs across finance, infrastructure, and AI-business domains
Identify and drive adoption of AI-integrated analytics workflows, including orchestrating AI tools to accelerate modeling and analysis
Lead ad hoc analyses of emerging topics critical to Meta's business and financial strategy

Minimum Qualifications:

Bachelor's degree in a directly related field, or equivalent practical experience
12+ years of experience applying statistical and quantitative analysis techniques to drive key business and financial decisions
Experience shaping and influencing strategy, investment, or monetization decisions — for example in infrastructure, product economics, pricing, or the economics of AI / technology businesses
Strong applied statistics and quantitative modeling: experimentation, causal inference / econometrics, uncertainty quantification, forecasting, and scenario modeling
Demonstrated business and economics intuition — a strong grasp of contribution margin, cost-to-serve, ROI, and trade-offs — and a track record of independently identifying financial or efficiency opportunities and driving them to measurable outcomes in ambiguous, fast-moving environments
Experience communicating data-driven recommendations to executive stakeholders through written and verbal presentations, with a track record of influencing cross-functional decisions without direct authority
Experience coding in SQL and Python (or equivalent) to independently work through large, messy datasets and to build, maintain, and optimize analytical models at production scale

Preferred Qualifications:

Familiarity with AI/compute cost economics — understanding inference and training cost drivers well enough to translate technical changes into $/token and margin
Familiarity with data governance best practices for auditability and reproducibility across the analytics stack
Master's or PhD in a quantitative field (e.g., economics, statistics, operations research, or a related discipline)
Experience with pricing and demand modeling (elasticity, willingness to pay, packaging, subscription/API pricing) and translating analysis into pricing and monetization recommendations
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
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience in data science and/or driving strategy at a hyperscaler, frontier AI lab, or large technology company

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $210,000/year to $281,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Apply for this job
Take the first step toward a rewarding career at Meta.
Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process.Learn more about AI usage and settings.
Sign up
to ask follow-up questions