Apply advanced statistical methods using SQL and Python to analyze large, complex datasets to identify abuse trends, develop signals, and provide data-driven recommendations for the YouTube ecosystem.

Collaborate with Engineering, Product, Policy and Vendor teams to create and enhance anti-abuse tools, improve system accuracy; leverage data pipelines to drive automation opportunities.

Investigate vulnerabilities through deep-dive analysis, contribute to developing new workflows against emerging abuse vectors, and design and maintain high-impact, leadership-level dashboards that translate complex anti-abuse metrics into strategic narratives for executive stakeholders.

Drive complex projects through the full life-cycle, partnering with stakeholders in engineering, policy and vendor operations to drive solutions.

Manage project schedules, respond to internal/external escalations within Service Level Agreement (SLAs), and participate in an on-call rotation.

Bachelor's degree or equivalent practical experience.

2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

2 years of experience managing projects and defining project scope, goals, and deliverables.