Data Scientist, Product Analytics

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook's launch in 2004, it has revolutionized connectivity. Apps like Messenger, Instagram, and WhatsApp have further empowered billions globally. Now, Meta is exploring augmented and virtual reality to build the next evolution in social technology, moving beyond 2D screens to create immersive experiences. Those who build their careers at Meta help shape a future that transcends current digital connection capabilities, going beyond screen limitations, distance, and even the rules of physics.

About the Position

Introduction

As a Data Scientist at Meta, you will play a crucial role in shaping the future of people-facing and business-facing products across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). You will leverage your technical skills, analytical mindset, and product intuition to work with one of the world's richest datasets, helping to define experiences for billions of people and businesses globally.

This role involves intense collaboration with cross-functional partners in Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance, among others. You will use data and analysis to identify and solve significant product development challenges, influence strategic decisions, and drive investment priorities. Joining Meta means becoming part of a world-class analytics community focused on skill development and career growth.

Responsibilities

Work with large and complex datasets to solve a wide array of challenging problems using diverse analytical and statistical approaches.
Apply technical expertise in quantitative analysis, experimentation, data mining, and data presentation to develop product strategies that benefit billions of users and millions of businesses.
Identify and measure the success of product initiatives through goal setting, forecasting, and monitoring key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve products, and drive roadmaps with your insights and recommendations.
Partner with Product, Engineering, and 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).
2+ years of work experience in 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 is an Equal Employment Opportunity and Affirmative Action employer. We are committed to providing reasonable accommodations for candidates with disabilities. If you need assistance or accommodations, please contact accommodations-ext@meta.com.