Data Scientist, Product Analytics

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook's launch in 2004, it has transformed global connection. Apps like Messenger, Instagram, and WhatsApp have further empowered billions worldwide. Meta is now transitioning beyond 2D screens towards immersive experiences such as augmented and virtual reality, aiming to build the next evolution in social technology. Individuals who choose to build their careers at Meta contribute to shaping a future that transcends current digital connection possibilities, moving beyond screen limitations, distance, and even the laws of physics.

About the Position

Introduction

As a Data Scientist at Meta, you will be instrumental in shaping the future of both people-facing and business-facing products across our entire suite of applications, including Facebook, Instagram, Messenger, WhatsApp, and Oculus. Leveraging your technical skills, analytical mindset, and product intuition on one of the world's richest datasets, you will contribute to defining experiences for billions of people and millions of businesses globally. You will collaborate extensively with cross-functional partners in Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and other teams, using data to tackle complex product development challenges and inform strategic decisions.

Responsibilities

Work with large and complex datasets to solve a wide range 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 for billions of users and hundreds of millions of 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, and drive roadmaps through your insights and recommendations.
Partner with Product, Engineering, and other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Requirements

Currently holds 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).

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.