Graph Data Scientist

E Logic • Washington, DC

1d

About The Position

E-Logic, Inc. is hiring a Graph Data Scientist to help the Pandemic Response Accountability Committee (PRAC) uncover complex fraud patterns, hidden networks, and non-obvious entity connections. You will leverage Neo4j, Cypher, graph algorithms, and machine learning models to analyze public and non-public data, supporting high-priority federal benefit program investigations.

Requirements

• Minimum 3 years of hands-on experience using Neo4j (or similar graph databases) and fluency in Cypher (or similar query language).
• 3+ years applying graph methods to fraud detection and knowledge graphs.
• 3+ years in statistical/ML foundations (clustering, classifiers, anomaly detection) applied to graph data.
• Strong Python skills using standard ML libraries.

Nice To Haves

• Experience designing graph pipelines/schemas for federal benefit programs preferred.

Responsibilities

• Develop graph-based analytic models and queries using Neo4j and Cypher to uncover hidden relationships and non-obvious connections across multi-agency datasets.
• Apply graph algorithms (network topology, centrality measures, community detection, shortest path) to support fraud detection.
• Design, implement, and optimize graph data pipelines, data models, and schemas for high-complexity, large-scale networks.
• Integrate statistical and machine learning foundations (clustering, classifiers, anomaly detection) applied to graph-structured data.
• Build Python scripts using standard machine learning libraries to complement graph data analysis.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed