
Lorven Technologies, Inc.
Dallas, Texas • Today
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Full-time, Third Party, Contract
Depends on Experience
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Lorven Technologies, Inc.
Dallas, Texas • Today
Easy Apply
Full-time, Third Party, Contract
Depends on Experience














Reed Elsevier Technology Services
Remote or North Carolina • Today
Full-time
USD 78,800.00 - 131,300.00 per year





Corner Alliance, Inc.
Remote or Washington, District of Columbia • Today
Full-time
USD 100,000.00 - 120,000.00 per year

General Dynamics
Remote or Bossier City, Louisiana • Today
Full-time
USD 75,650.00 - 102,350.00 per year




Position: Data Scientist - Fraud Analytics
Location: Dallas, TX (Onsite)
Job Description:
Looking forward for your reply.
🛠️ Calibrating flux capacitors...
Dallas, Texas
•
3d ago
<>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
Easy Apply
Full-time
Depends on Experience
Dallas, Texas
•
Yesterday
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
Easy Apply
Third Party, Contract
Depends on Experience
Dallas, Texas
•
Yesterday
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,
Easy Apply
Third Party, Contract
Depends on Experience
Dallas, Texas
•
Today
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
Easy Apply
Contract, Third Party
60 - 63