Fraud Data Scientist

Job Summary

A company is looking for a Fraud Sr Data Scientist, AIML Modeling & GenAI.

Key Responsibilities

• Develop predictive models for fraud detection, including feature engineering and real-time scoring
• Design and implement GenAI solutions for alert summarization and policy drafting
• Manage MLOps processes, ensuring model integration and compliance with explainability standards

Required Qualifications

• Master's or Ph.D. in Data Science, Machine Learning, Statistics, or a related field
• 3+ years of experience in applying AI/ML to fraud prevention or risk analytics
• Proficiency in Python, SQL, and ML frameworks such as scikit-learn and TensorFlow/PyTorch
• Experience in building production-ready MLOps pipelines
• Knowledge of payment card networks and streaming data architectures