Data Scientist, Product Analytics

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook's launch in 2004, the company has connected billions globally through apps like Messenger, Instagram, and WhatsApp. Meta is now exploring immersive experiences in augmented and virtual reality to build the next evolution of social technology. Those who build their careers at Meta contribute to shaping a future beyond current digital connection capabilities, transcending screens, distance, and even physical rules.

Meta is an Equal Employment Opportunity and Affirmative Action employer, committed to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, veteran status, disability, or other legally protected characteristics. We also consider qualified applicants with criminal histories in accordance with applicable laws. Meta participates in the E-Verify program where required and may use AI and machine learning in the employment application process. Reasonable accommodations for candidates with disabilities are provided upon request.

About the Position

Introduction

As a Data Scientist at Meta, you will play a pivotal role in shaping the future of 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, you will work with one of the world's richest data sets to define product experiences for billions of people and hundreds of millions of businesses globally.

Responsibilities

Work with large and complex data sets to solve challenging problems using diverse analytical and statistical approaches.
Apply technical expertise in quantitative analysis, experimentation, data mining, and data presentation to develop product strategies.
Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve products, and drive roadmaps through insights and recommendations.
Partner with Product, Engineering, and various cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a relevant technical field, or equivalent practical experience.
4+ years of work experience in analytics, data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical mathematical software (e.g., R). (Minimum of 2 years with a Ph.D.)
4+ 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

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

Competitive base salary, bonus, equity, and comprehensive benefits package.
Opportunities for skill development and career growth within a world-class analytics community.