Data Scientist, Product Analytics

🌐 About Meta

At Meta, you will shape the future of both people-facing and business-facing products across our entire family of applications, including Facebook, Instagram, Messenger, WhatsApp, and Oculus. By applying your technical expertise, keen analytical mindset, and strong product intuition to one of the richest data sets in the world, you will directly help define the experiences we build for billions of people and hundreds of millions of businesses around the globe.

💡 About the Role: Data Scientist

As a Data Scientist at Meta, you will engage in a wide array of product and business problems, collaborating with a diverse range of cross-functional partners including Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will leverage data and advanced analysis to identify and solve the biggest challenges in product development, influencing product strategy and investment decisions with data-driven insights. With a strong focus on impact, you will become an integral part of a world-class analytics community dedicated to skill development and career growth.

Product Leadership

You will use data to strategically shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build deliver significant value to people, businesses, and Meta. You will play a key role in helping your partner teams prioritize what to build, set ambitious goals, and deeply understand their product's ecosystem.

Analytics

You will guide teams with precise data and actionable insights. Your focus will be on developing robust hypotheses and employing a varied toolkit of rigorous analytical approaches, diverse methodologies, frameworks, and technical strategies to test them effectively.

Communication and Influence

You will not merely present data; you will tell compelling, data-driven stories. You will convince and influence your partners through clear insights and well-articulated recommendations, building credibility through structure and clarity to become a trusted strategic partner.

🎯 Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems, employing diverse analytical and statistical approaches.
• Apply technical expertise in quantitative analysis, experimentation, data mining, and data presentation to develop impactful strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure the success of product efforts through rigorous goal setting, accurate forecasting, and continuous monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, driving roadmaps through your insightful recommendations.
• Partner effectively with Product, Engineering, and other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

🛠️ Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 6 years of work experience in analytics (or a minimum of 4 years with a Ph.D.).
• Demonstrated experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
• Master's or Ph.D. Degree in a quantitative field is preferred.
• 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.