Data Scientist, Product Analytics

Data Scientist, Product Analytics at Meta

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). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define experiences for billions of people and hundreds of millions of businesses globally.

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. Your role involves using data and analysis to identify and solve critical product development challenges, influencing product strategy and investment decisions with data-driven insights, and focusing on measurable impact. Joining Meta means becoming part of a world-class analytics community dedicated to skill development and career growth.

You will exhibit strong product leadership, using data to quantify opportunities, identify challenges, and ensure product value. You will guide teams with data and insights, developing hypotheses and employing rigorous analytical, methodological, and technical approaches to test them. Excellent communication and influence are key; you will tell data-driven stories, build credibility through clarity, and become a trusted strategic partner.

Data Scientist, Product Analytics 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 serving billions of people and businesses.
• 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 through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Currently has, or is in the process of obtaining, a Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent.
• 2+ years of work experience in analytics and data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
• 2+ 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).

Preferred Qualifications

• Master's or Ph.D. Degree in a quantitative field.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook launched in 2004, it transformed how people connect. Apps like Messenger, Instagram, and WhatsApp have further empowered billions worldwide. Now, Meta is moving beyond 2D screens towards immersive experiences like augmented and virtual reality, building the next evolution in social technology. Those who build their careers with us at Meta help shape a future beyond today's digital connection – beyond screens, distance, and even the rules of physics.

Key skills/competency

• Product Analytics
• Data Analysis
• Experimentation Design
• SQL
• Python
• R Programming
• Statistical Modeling
• Data Mining
• Product Strategy
• Data Storytelling