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, and data mining to develop product strategies
• Identify and measure the success of product efforts through goal setting, forecasting, and monitoring key metrics
• Define and test opportunities to improve products, driving roadmaps through data-driven insights and recommendations
• Partner with Product, Engineering, and cross-functional teams to influence product strategy and investment decisions

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a relevant technical field
• 4+ years of experience in analytics, including proficiency in SQL and scripting languages such as Python or R
• Experience solving analytical problems using quantitative approaches, understanding user behaviors and long-term product trends
• Proven track record of leading data-driven projects from definition to execution, including defining metrics and communicating actionable insights

Preferred Qualifications

• Master's or Ph.D. degree in a quantitative field
• Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact
• Experience implementing responsible and ethical AI practices, such as bias mitigation and risk assessment
• Ongoing development in emerging AI technologies, including prompt engineering or agent orchestration

About the Company

Meta builds technologies that help people connect, find communities, and grow businesses. From Facebook and Instagram to WhatsApp and the Metaverse, we are moving beyond 2D screens toward immersive experiences that shape the future of social technology.