Data Science Manager, Integrity
Core
Lead a Data Science team focused on trust & safety, fraud prevention, risk analysis, and detection/mitigation strategies to protect users from misuse and adversarial behaviors.
Role type
Senior IC Data Science Manager (Integrity)
Builds
High-performing DS function, measurement systems, experimentation practices, and detection/mitigation strategies for integrity risks.
Domain
AI Safety / Trust & Safety / Fraud Prevention
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Leading and scaling Data Science teams, technical grounding in experimentation/causal inference/anomaly detection/risk modeling, building cross-functional partnerships, hiring and mentoring technical talent, translating ambiguous threats into clear frameworks, operating in ambiguity.
Preferred skills
Deploying scaled detection solutions using LLMs/embeddings/fine-tuning, working with policy/content moderation/security operations teams, building measurement systems balancing safety and business constraints.
Technologies
LLMs, embeddings, fine-tuning, modern tooling, AI-assisted workflows
Responsibilities
Lead and scale a high-impact Integrity Data Science team (hiring, coaching, developing ICs), drive strategy across multiple Integrity domains (policy enforcement, bot detection, fraud prevention, IP theft, risk measurement), build and institutionalize analytical rigor (metric frameworks, experimentation standards, monitoring), partner with Product & Engineering to shape roadmaps, evolve team structure and operating model, enable cross-org outcomes, communicate with senior leadership.
Seniority
Senior, hands-on IC with leadership responsibilities
