Graph Data Scientist

Job Summary

To support the Advanced Analytic & Investigative Support Services program, the fully remote Graph Data Scientist will design and develop graph analytics solutions to detect fraud, waste, abuse, and mismanagement in large-scale federal benefit programs, collaborating closely with data scientists and investigative analysts.

Key Responsibilities

• Develop graph-based analytic solutions to identify fraud indicators and complex entity networks
• Design, build, and optimize graph databases, including writing and optimizing graph queries
• Utilize graph algorithms and machine learning techniques to translate data into actionable insights for fraud detection

Required Qualifications

• Minimum three (3) years of hands-on experience with Neo4j or a similar graph database
• Fluency with Cypher or a similar graph query language
• Experience applying statistical and machine learning techniques to graph-structured data
• Strong Python programming skills and familiarity with standard machine learning libraries
• Experience designing graph data models and optimizing graph data pipelines