Data Scientist, Product

Meta is seeking a Data Scientist to partner with product teams and drive data-informed decision making across Meta's family of apps and platforms. In this role, you will apply rigorous quantitative and qualitative analysis to understand user behavior, measure product impact, and shape the direction of product strategy. You will design and analyze experiments, build predictive models, and develop scalable data pipelines and dashboards that empower cross-functional teams to act on insights. Your work will directly influence product roadmaps and help Meta build experiences that serve billions of people worldwide.

Data Scientist, Product Responsibilities:

• Design and evaluate A/B experiments to measure the causal impact of product changes on user behavior and key product metrics
• Develop and maintain predictive models and statistical frameworks to generate actionable insights that inform product strategy
• Build scalable data pipelines and self-service visualization interfaces that enable cross-functional partners to explore and interpret product performance data
• Define success metrics and measurement frameworks that connect product goals to business outcomes
• Conduct exploratory and confirmatory analyses on large-scale behavioral datasets to identify opportunities and surface risks
• Collaborate with product managers, engineers, and designers to translate analytical findings into prioritized product decisions
• Communicate complex analytical results clearly to technical and non-technical stakeholders through written narratives and data presentations
• Advise cross-functional partners on analytical design, hypothesis formulation, and interpretation of quantitative and qualitative research
• Integrate AI tools into analytical workflows to accelerate insight generation, improve reproducibility, and expand the scope of analyses
• Contribute to team-level goal setting by sizing opportunities, tracking operational performance, and identifying gaps in existing measurement approaches

Minimum Qualifications:

• Experience in data science, applied analytics, or a related quantitative field working on consumer or enterprise products
• Experience designing and analyzing controlled experiments, including hypothesis formulation, statistical testing, and interpretation of results
• Experience writing production-quality code in SQL and at least one scripting language such as Python or R to manipulate and analyze large-scale datasets
• Experience building predictive models using statistical or machine learning techniques and translating model outputs into product recommendations
• Experience developing data visualizations and self-service dashboards to communicate product performance to diverse stakeholders

Preferred Qualifications:

• Experience building forecasting models using time series methods to project product or business metrics
• 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 working on social platforms, feed ranking, notifications, or engagement products where behavioral data is high-volume and high-dimensional
• Experience applying causal inference methods such as difference-in-differences, instrumental variables, or regression discontinuity in a product analytics context
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ability to influence product roadmap decisions through data storytelling and stakeholder alignment at the team or organizational level

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 WhatsApp 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.

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 stereotypes, 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.

$147,000/year to $208,000/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.