Forward Deployed Data Scientist

📋 Description Surface emerging fraud patterns across the network and take them down. Detect patterns and translate findings into sharper signals and smarter decisioning. Collaborate with customers/partners across verticals with varying risk appetites. Build dashboards, tune models, and decision logic to help customers. Identify false positives and coverage gaps by analyzing raw event streams; test fixes. Lead forensic investigations during fraud spikes; trace patterns and document remediation. 🎯 Requirements 5–8 years in fraud, trust & safety, risk, or related domain. Strong SQL and Python; code-first problem solving, not building pipelines. ML concepts applied to fraud: classification, feature engineering, precision/recall, calibration. Experience analyzing large-scale behavioral/transactional data to detect fraud patterns. Ability to communicate findings to technical and non-technical stakeholders; present to VP of Risk. Customer-facing experience; adapt to diverse business priorities.