Data Scientist (Fraud Analytics)

Job Summary

To support advanced fraud analytics and investigative initiatives, the remote Data Scientist (Fraud Analytics) will develop, test, validate, and deploy innovative analytical solutions while collaborating with a multidisciplinary team to identify fraud and mismanagement across federal benefit programs.

Key Responsibilities

• Develop, test, validate, and maintain fraud detection and program integrity analytics
• Design analytical rules and methodologies to identify fraud indicators and emerging risks
• Perform exploratory data analysis, feature engineering, model development, and performance evaluation

Required Qualifications

• Must have experience with Fraud Analysis
• Three (3) or more years of professional experience in data science, applied analytics, or a related quantitative field
• Strong programming experience using Python and SQL
• Experience developing and validating analytical models
• Experience analyzing structured and unstructured datasets