Lead Data Scientist

Role: Lead Data Scientist Location: Dallas, TX (100% Onsite) Experience: 8-12 Year s Job Summary: We are looking for a Lead Data Scientist with strong expertise in Fraud Analytics, Machine Learning, and AI-driven fraud detection solutions. The ideal candidate will lead end-to-end fraud use case discovery, model development, feature engineering, and deployment of advanced fraud detection systems leveraging ML, Graph Analytics, and AI techniques . Required Skill sPrimary Skill • sFraud Analytic • sMachine Learnin • gGraph Analytic • sFeature Engineerin • gDataik • uAgentic AI Architectur eSecondary Skill • sNeo4 • jPytho • nModel Explainabilit • yStatistic • sExperimentation Framework sKey Responsibilitie • sLead fraud use case discovery and scenario design • .Define fraud detection strategies using business rules, Machine Learning, and graph techniques • .Identify predictive variables and build fraud feature catalogues • .Build and validate pilot fraud detection models • .Optimize precision, recall, and fraud catch rates • .Collaborate with engineering teams on low-latency scoring architectures • .Drive model explainability, governance, and compliance initiatives • .Support shadow runs and challenger model validation against existing systems .Responsibilities Are • aData Science & AI Strateg • ySolution Design & Model Developmen • tFraud Analytics & Investigation Insight • sTechnical Leadershi • pTeam Mentoring & Stakeholder Managemen t