Data Scientist, Product Analytics

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world.

About the role

You will collaborate on a wide array of product and business problems with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will use data and analysis to identify and solve product development's biggest challenges, influence product strategy and investment decisions, and drive impact through collaboration with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

• Product leadership: Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. Help partner teams prioritize what to build, set goals, and understand their product's ecosystem.
• Analytics: Guide teams using data and insights. Develop hypotheses and employ rigorous analytical approaches, methodologies, frameworks, and technical approaches to test them.
• Communication and influence: Tell data-driven stories to convince and influence partners. Build credibility through structure and clarity, and act as a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and data presentation to develop strategies for products serving billions of people and hundreds of millions of businesses.
• Identify and measure 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 the product, and drive 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, 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.).
• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).

Qualifications

• 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.

Pay

$177,000/year to $247,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location.

Benefits

Meta offers benefits including health, wellness, financial, and professional development support. Learn more about benefits at Meta.