Data Science Manager

Role Overview In this role, you will build and scale the data science engine that fortifies Trust & Safety. This role focuses on designing Live-specific trust policies, real-time multi-modal moderation systems, and buyer/transaction risk frameworks to reduce UPI/BBE while enforcing seller standards across categories and markets. You will partner closely with Product, Engineering, Payments, and Business Units, and deliver executive-ready Steerco metrics and dashboards that guide strategic decisions. This is a hands-on leadership role requiring strong analytical depth, applied ML expertise, and the ability to translate complex risk trade-offs into clear business outcomes.

Key Responsibilities Define Live-specific trust policies and seller standards, instrument compliance monitoring and create investigation playbooks for UPIs and cancellations by ticket value Partner with Product, BU, Engineering, and Payments teams on policy enforcement, remediation, and seller accountability Build buyer and transaction risk scoring systems beyond rules to proactively manage UPI and chargeback risk, especially in high-ASP Live flows Design guardrails and run experiments to reduce UPI/BBE while protecting genuine buyers, balancing trust and conversion Define clear trust metrics (e.g., UPI rate, BBE, false SNAD) with thresholds, review checkpoints, and quality checks Build leadership dashboards and scorecards with key leading and lagging indicators across markets and categories and automate regular reporting Conduct causal and experimental studies on payment product and policy changes to quantify lift, risk trade-offs, and buyer impact Design and deploy real-time moderation models for chat, audio, and video, with defined quality metrics.

Qualifications 9+ years of experience in Analytics / Data Science, with strong exposure to Trust & Safety, Risk, Fraud, or Marketplace Integrity. Proven expertise in advanced analytics, causal inference, and experimentation design Hands-on experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domains Strong proficiency in SQL and Python, with experience in data for real-time and streaming data Experience building executive-ready dashboards and BI reporting for large-scale programs Solid understanding of marketplace economics, trust policies, and payments risk, with sound judgment to balance protection and growth Excellent problem-solving, communication, and stakeholder management skills

Preferred Skills Experience with real-time systems and different data formats (text, audio, video) Strong product sense for buyer and seller tools, trust programs, and enforcement workflows Ability to operate frameworks and drive measurable impact quickly at scale Effectively communicate insights and recommendations to senior leadership