Data Scientist, Product Analytics

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.

Introduction

As a Data Scientist at Meta, you will play a pivotal role in shaping the future of both people-facing and business-facing products across Meta's entire family of applications, including Facebook, Instagram, Messenger, WhatsApp, and Oculus. Leveraging your technical skills, analytical mindset, and product intuition on one of the world's richest data sets, you will define the experiences for billions of people and hundreds of millions of businesses globally.

You will collaborate extensively with cross-functional partners in Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance to solve diverse product and business challenges. Your work will involve using data and analysis to identify and resolve critical product development issues, influencing product strategy and investment decisions, and ultimately driving impactful outcomes. Joining Meta means becoming part of a world-class analytics community committed to continuous skill development and career growth.

Responsibilities

• Work with large and complex datasets to solve a wide array of challenging problems using various analytical and statistical approaches.
• Apply technical expertise in quantitative analysis, experimentation, data mining, and data presentation to develop product strategies that serve billions of people and hundreds of millions of businesses.
• Identify and measure the success of product efforts through goal setting, forecasting, and monitoring key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve products, driving roadmaps with your insights and recommendations.
• Partner with Product, Engineering, and other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Requirements

• 2+ years of work experience in analytics and data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
• 2+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment design, and communicating actionable insights).

Nice to Have

• Master's or Ph.D. Degree in a quantitative field.
• 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.

Benefits

• Bonus and equity opportunities.
• Comprehensive benefits package. Learn more about benefits at Meta.

About Company

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.

How to Apply

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