Data Scientist, Product Analytics.

Meta is seeking a Data Scientist to drive product strategy and decision-making across our family of applications, including Facebook, Instagram, Messenger, WhatsApp, and Meta's emerging platforms. In this role, you will apply advanced quantitative analysis, statistical modeling, and data-driven storytelling to shape how billions of people experience our products. You will partner closely with Product, Engineering, Research, and cross-functional teams to identify opportunities, define success metrics, design experiments, and translate complex data into clear, actionable recommendations that influence product direction and investment decisions at scale.

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of 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 cross-functional teams to inform, influence, support, and execute product strategy and investment decisions

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
• 4+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
• 4+ 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]

• 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)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)