Role OverviewIn 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 ResponsibilitiesDefine Live-specific trust policies and seller standards, instrument compliance monitoring and create investigation playbooks for UPIs and cancellations by ticket valuePartner with Product, BU, Engineering, and Payments teams on policy enforcement, remediation, and seller accountabilityBuild buyer and transaction risk scoring systems beyond rules to proactively manage UPI and chargeback risk, especially in high-ASP Live flowsDesign guardrails and run experiments to reduce UPI/BBE while protecting genuine buyers, balancing trust and conversionDefine clear trust metrics (e.g., UPI rate, BBE, false SNAD) with thresholds, review checkpoints, and quality checksBuild leadership dashboards and scorecards with key leading and lagging indicators across markets and categories and automate regular reportingConduct causal and experimental studies on payment product and policy changes to quantify lift, risk trade-offs, and buyer impactDesign and deploy real-time moderation models for chat, audio, and video, with defined quality metrics.Qualifications9+ 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 designHands-on experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domainsStrong proficiency in SQL and Python, with experience in data for real-time and streaming dataExperience building executive-ready dashboards and BI reporting for large-scale programsSolid understanding of marketplace economics, trust policies, and payments risk, with sound judgment to balance protection and growthExcellent problem-solving, communication, and stakeholder management skillsPreferred SkillsExperience with real-time systems and different data formats (text, audio, video)Strong product sense for buyer and seller tools, trust programs, and enforcement workflowsAbility to operate frameworks and drive measurable impact quickly at scaleEffectively communicate insights and recommendations to senior leadership
Job Title
Data Science Manager(Kolkata)