Lead Data Scientist - Fraud Analytics

Job Summary

Leading a remote team, the full-time salaried Lead Data Scientist - Fraud Analytics will provide technical leadership for a federal fraud analytics program, focusing on designing innovative analytic approaches, developing advanced fraud detection models, and ensuring the successful delivery of reliable analytic solutions.

Key Responsibilities

• Lead the design, development, testing, validation, deployment, and continuous improvement of advanced fraud detection and investigative analytics solutions
• Develop innovative analytic approaches to identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs
• Establish and oversee rigorous quality control processes to ensure analytic outputs are accurate, reliable, repeatable, and fully documented prior to Government delivery

Required Qualifications

• Five (5) or more years of hands-on experience developing analytic rules and models for fraud detection use cases using leading-edge analytic tools and best practices
• Five (5) or more years of experience designing analytic approaches, managing model development and testing efforts, and conducting thorough quality control
• Demonstrated experience ideating innovative analytic use cases to detect and prevent fraud, waste, abuse, and mismanagement
• Five (5) or more years of experience tracking project progress, identifying technical risks, and delivering high-quality analytic solutions on schedule
• Five (5) or more years of hands-on experience developing analytic rules and models using open-source programming languages and frameworks