Data Scientist II, Fraud Detection

Job Summary

A company is looking for a Data Scientist II, Fraud & Deep Learning.

Key Responsibilities

• Lead, mentor, and grow a high-performing team of data scientists
• Design, implement, and optimize advanced deep learning model architecture for fraud and risk challenges
• Collaborate with cross-functional teams to deliver robust, scalable AI solutions

Required Qualifications

• Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related field
• Proven experience developing, training, and deploying deep learning models in a production environment
• Experience working with multiple data modalities, including tabular data, language/text, point clouds, and images
• Strong track record of managing and mentoring diverse teams of data scientists
• Proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch)