Data Scientist, Product Analytics

Meta builds technologies that help people connect, find communities, and grow businesses. Starting with Facebook in 2004, Meta's applications like Messenger, Instagram, and WhatsApp have empowered billions worldwide. Now, Meta is pushing 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 contribute to shaping a future that transcends current digital connections, limits of distance, and even physics.

Meta is an Equal Employment Opportunity and Affirmative Action employer, committed to diversity and inclusion. They participate in the E-Verify program where required by law and may use AI/ML in their application process. Reasonable accommodations are provided for candidates with disabilities.

Introduction

As a Data Scientist at Meta, you will play a crucial role in shaping the future of both consumer-facing and business-facing products across Meta's 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 hundreds of millions of businesses globally.

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.
• 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 the product, driving roadmaps with 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.
• 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

• Bonus
• Equity
• Comprehensive benefits package (details can be found on Meta's benefits page).

About Company

Meta builds technologies that help people connect, find communities, and grow businesses. Starting with Facebook in 2004, Meta's applications like Messenger, Instagram, and WhatsApp have empowered billions worldwide. Now, Meta is pushing 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 contribute to shaping a future that transcends current digital connections, limits of distance, and even physics.

Meta is an Equal Employment Opportunity and Affirmative Action employer, committed to diversity and inclusion. They participate in the E-Verify program where required by law and may use AI/ML in their application process. Reasonable accommodations are provided for candidates with disabilities.

How to Apply

Please apply through the provided application link.