Senior Data Scientist, Ads Integrity

What you'll do

• Define fraud taxonomies, labels, metrics, and evaluation frameworks; investigate emerging patterns and their impact.
• Build and oversee scalable detection and enforcement pipelines, including models, rules, scoring, feedback, monitoring, and lifecycle management.
• Partner across Ads and Safety to set roadmaps, guide enforcement decisions, and communicate findings to stakeholders.

What they ask for

• M.S. in a quantitative field and 4+ years of industry data science experience, or Ph.D. in a quantitative field and 2+ years of industry data science experience.
• Experience building or materially shaping production detection and automated enforcement pipelines.
• Strong command of fraud or abuse detection methods and evaluation, including calibration, threshold selection, false-positive analysis, and drift detection.
• Fluency in statistical analysis, Python or a similar programming language, and SQL.

Nice to have

• Relevant experience in ads or financial fraud, account risk, Trust & Safety, platform integrity, or enforcement engineering.
• Experience with graph or network analysis, clustering, anomaly detection, or natural language processing.

Pay

$190,800—$267,100 USD (base salary)

Tools

Python, SQL, large language models (LLMs)

AI focus

Build statistical, machine learning, and GenAI-enabled models or prototypes for fraud detection, risk identification, investigator efficiency, and enforcement; apply AI and LLMs to workflows such as threat discovery, classification, signal development, and investigation automation.