Director of Fraud Data Science

A company is looking for a Director, Fraud Data Science.

Key Responsibilities

Lead and mentor a team of data scientists in developing AI / ML solutions for fraud detection and risk assessment

Drive the design and optimization of advanced deep learning models for various data types

Collaborate with cross-functional teams to deliver scalable AI solutions and ensure best practices in model development

Required Qualifications

Advanced degree (MS / PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related field

Hands-on experience in developing and deploying deep learning models in a production environment

Experience with multiple data modalities, including tabular data, language / text, point clouds, and images

Strong background in machine learning best practices and data mining techniques

Proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch)