Data Scientist, Product Analytics

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook's launch in 2004, the company has revolutionized connections and empowered billions globally through Messenger, Instagram, and WhatsApp. Meta is now exploring immersive experiences like augmented and virtual reality, aiming to advance social technology beyond 2D screens. Joining Meta means becoming part of a team shaping a future that transcends current digital connection capabilities, beyond the limitations of screens, distance, and even physics.

Meta is an Equal Employment Opportunity and Affirmative Action employer, committed to non-discrimination based on various protected characteristics. They consider qualified applicants with criminal histories per applicable laws and participate in the E-Verify program. Meta may utilize AI and machine learning in the employment application process. Reasonable accommodations for candidates with disabilities are provided; contact accommodations-ext@meta.com for assistance.

About the Position

Introduction

As a Data Scientist at Meta, you will play a crucial role in shaping the future of user and business-facing products across our family of applications, including Facebook, Instagram, Messenger, WhatsApp, and Oculus. Leveraging your technical skills, analytical mindset, and product intuition, you will contribute to defining experiences for billions of people and millions of businesses worldwide.

This role involves collaborating with cross-functional partners in Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance to tackle complex product and business challenges. You will use data and analysis to solve significant product development hurdles, influence product strategy, and guide investment decisions. Meta offers a world-class analytics community focused on skill development and career growth.

Responsibilities

Work with large and complex datasets 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.
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 products, and drive 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

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