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 Machi

Role: Machine Learning Engineer - Fraud Detection Location: Dallas, TX (100% Onsite) Experience: 7-12 Years Role Summary We are looking for a Machine Learning Engineer to build and support production-grade fraud detection solutions. The role focuses on real-time inference, feature engineering, APIs, graph-based fraud detection, and production deployment support. Key Skills Machine Learning Engineering and Real-Time InferencePython, APIs, and MicroservicesGoogle Cloud Platform and DatabricksNeo4j

Hiring: Machine Learning Engineer Fraud Detection Location: Dallas, TX 100% Onsite Contract: 1 Year Experience: 8 12 Years We are looking for a strong Machine Learning Engineer with experience building and supporting production-grade fraud detection solutions. Key Skills Python & Machine Learning Real-Time / Low-Latency Inference REST APIs & Microservices Google Cloud Platform & Databricks Neo4j / Graph Databases Feature Stores & Feature Engineering Data Pipelines & Data Engineering MLOps,

Role:Machine Learning Engineer- Fraud Detection Location: Dallas, TX (100% Onsite) Role Summary We are looking for aMachine Learning Engineerto build and support production-grade fraud detection solutions. The role focuses on real-time inference, feature engineering, APIs, graph-based fraud detection, and production deployment support. Key Skills Machine LearningEngineering and Real-Time InferencePython, APIs, and MicroservicesGoogle Cloud Platform and DatabricksNeo4j / Graph Databases and Fea