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Job Description
- 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.