Data Scientist, Product Analytics

Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook's launch in 2004, Meta has evolved to include apps like Messenger, Instagram, and WhatsApp, empowering billions globally. Meta is now moving beyond 2D screens towards immersive experiences like augmented and virtual reality, aiming to build the next evolution in social technology. Those who build their careers at Meta help shape a future that extends beyond current digital connections, limits of distance, and even the rules of physics. Meta is an Equal Employment Opportunity and Affirmative Action employer, committed to diversity and inclusivity, and provides reasonable accommodations for candidates with disabilities.

Introduction

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). Leveraging your technical skills, analytical mindset, and product intuition on one of the world's richest datasets, you will help define experiences for billions of people and millions of businesses. You will collaborate with a wide array of cross-functional partners to identify and solve product development challenges, influence strategic decisions with data, and contribute to a world-class analytics community dedicated to skill development and career growth.

Responsibilities

• Work with large and complex data sets to solve challenging problems using various 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 key product metrics.
• Define, understand, and test opportunities and levers to improve products, driving roadmaps through insights and recommendations.
• Partner with Product, Engineering, and 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, a relevant technical field, or equivalent practical experience.
• A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.).
• Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).

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

• Competitive base salary ($177,000 - $247,000 per year).
• Bonus.
• Equity.
• Comprehensive benefits package (learn more at Meta's benefits page).
• Individual compensation is determined by skills, qualifications, experience, and location.

About Company

Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook's launch in 2004, Meta has evolved to include apps like Messenger, Instagram, and WhatsApp, empowering billions globally. Meta is now moving beyond 2D screens towards immersive experiences like augmented and virtual reality, aiming to build the next evolution in social technology. Those who build their careers at Meta help shape a future that extends beyond current digital connections, limits of distance, and even the rules of physics. Meta is an Equal Employment Opportunity and Affirmative Action employer, committed to diversity and inclusivity, and provides reasonable accommodations for candidates with disabilities.

How to Apply

Apply directly through Meta's careers portal. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. For accommodations due to a disability, contact accommodations-ext@meta.com.