Join YouTube's proactive Trust & Safety team, dedicated to ensuring a secure environment for users, viewers, and content creators globally.

This role is vital for navigating complex challenges, assessing cost-effectiveness, designing operational experiments, and informing strategic decisions within our detection pipelines and global operations.

At YouTube, we empower everyone to share their stories and connect with one another. We blend cutting-edge technology with creativity to showcase the world, explore innovative ideas, solve real-world problems, and foster a collaborative and fun work environment.

Lead the quantitative analytics and data science strategy for automated content moderation, creating frameworks to assess post-launch impact and readiness for automated policy defense systems.

Design and implement large-scale statistical experiments to evaluate human decision-making under various operational conditions, modeling rater behavior to optimize review queues and workforce allocation.

Formulate and execute rigorous Root Cause Analysis (RCA) and causal inference frameworks to address complex operational anomalies, identifying key efficiency drivers and guiding executive decisions with empirical data.

Collaborate with Software Engineering, Data Science, Product Management, and Global Operations teams to deploy scalable metrics infrastructure, validate technical solutions, and influence product and policy roadmaps.

A Master's degree in a quantitative field like Statistics or Engineering, or equivalent practical experience, is required.

Four years of experience utilizing analytics to solve product or business challenges, coupled with coding proficiency (e.g., Python, R, SQL) and database querying or statistical analysis.

Four years of dedicated experience using SQL for extracting and managing quantitative data from distributed databases.