Senior Data Scientist, Ads Integrity (Fully Remote)

• Lead the measurement and detection strategy for ads fraud by defining fraud taxonomies, labels, sampling plans, metrics, and evaluation frameworks.
• Analyze large, complex datasets and networks of behavior to uncover emerging fraud patterns, size their impact, identify root causes, and translate findings into detection and enforcement requirements.
• Design and develop scalable ads fraud detection and enforcement pipelines in partnership with Engineering and Machine Learning.

Qualifications:

• Relevant experience in Data Science or Applied Science, preferably in ads fraud, Trust & Safety, or enforcement engineering.
• Ph.D. or M.S. in a quantitative field with demonstrated experience building production detection pipelines.
• Strong command of fraud detection methods, including label design, precision/recall tradeoffs, and drift detection.
• Comprehensive healthcare benefits and income replacement programs, including 401k with employer match.
• Global benefit programs for workspace, professional development, and caregiving support.
• Flexible vacation, paid volunteer time off, and generous paid parental leave.

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