Acquire an understanding of the product, trust and safety (T&S) manual and automated processes, tools, and customer expectations. Design and develop scalable measurements to support reporting needs.

Lead the statistical design, definition, and implementation of metrics such as the uncaught badness rate, creating standardized, and defensible measurements applicable across products and violation areas.

Design, implement, and own the technical implementation of production-level data pipelines, documentation, and the code check-in process.

Build and scale artificial intelligence (AI)-based content rating systems in partnership with engineering teams and measure the efficiency gains accurately from the same.

Collaborate with business and engineering stakeholders to ensure our data is telling the right story and helping stakeholders make data-backed decisions. Present findings and business recommendations to multiple levels of stakeholders and leadership teams.

Master's degree in a quantitative discipline (e.g., Statistics, Engineering, and Sciences), or equivalent practical experience.

4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.