Lead Data Scientist - Fraud Analytics

Role: Lead Data Scientist - Fraud Analytics Location: Dallas, TX (100% Onsite) 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 Skills Primary Skills Fraud Analytics Machine Learning Graph Analytics Feature Engineering Dataiku Agentic AI Architecture Secondary Skills Neo4j Python Model Explainability Statistics Experimentation Frameworks Key Responsibilities Lead 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 Area Data Science & AI Strategy Solution Design & Model Development Fraud Analytics & Investigation Insights Technical Leadership Team Mentoring & Stakeholder Management United IT Solutions