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, a relevant technical field, or equivalent practical experience
• Minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
• Proficiency in data querying languages such as SQL
• Proficiency in scripting languages such as Python or statistical/mathematical software such as R

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, including bias mitigation and risk assessment
• Ongoing AI skill development in areas such as 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.