Data Scientist, Product Analytics

Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook's launch in 2004, Meta has continued to empower billions globally through apps like Messenger, Instagram, and WhatsApp. Now, Meta is exploring augmented and virtual reality to build the next evolution in social technology, moving beyond 2D screens to create immersive experiences that transcend the limits of screens, distance, and even physics. Meta is an Equal Employment Opportunity and Affirmative Action employer, committed to diversity and inclusion. The company participates in the E-Verify program and provides reasonable accommodations for candidates with disabilities.

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 our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). Leveraging your technical skills, analytical mindset, and product intuition, you will work with one of the world's richest data sets to define impactful experiences for billions of people and hundreds of millions of businesses.

Responsibilities

• Work with large and complex data sets 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 other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Requirements

• 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as 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

• 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 (learn more at Meta's benefits page)

About Company

Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook's launch in 2004, Meta has continued to empower billions globally through apps like Messenger, Instagram, and WhatsApp. Now, Meta is exploring augmented and virtual reality to build the next evolution in social technology, moving beyond 2D screens to create immersive experiences that transcend the limits of screens, distance, and even physics. Meta is an Equal Employment Opportunity and Affirmative Action employer, committed to diversity and inclusion. The company participates in the E-Verify program and provides reasonable accommodations for candidates with disabilities.

How to Apply

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.