Graph Data Scientist

Job Summary

Seeking an experienced Graph Data Scientist for a remote, full-time position focused on developing advanced graph analytics to uncover complex fraud patterns and support federal investigative missions, leveraging graph databases and machine learning techniques.

Key Responsibilities

• Design, develop, and maintain graph-based analytic solutions for fraud detection and investigative analysis
• Build and optimize graph databases and schemas using Neo4j or similar technologies
• Apply graph algorithms and machine learning techniques to identify emerging fraud patterns and anomalous network behavior

Required Qualifications

• Three (3) or more years of experience developing graph analytics using Neo4j or a comparable platform
• Demonstrated fluency in Cypher or a comparable graph query language
• Strong understanding of graph theory and network analytics
• Experience applying statistical analysis and machine learning to graph-structured data
• Hands-on experience with fraud analysis and graph methods for relationship discovery and link analysis