Graph Data Scientist

The Graph Data Scientist shall have three (3) or more years of hands-on experience using Neo4j or a similar graph database and fluency in Cypher, or similar query language, to detect potential fraud using leading edge techniques and best practices.

The Graph Data Scientist must have a deep understanding of network typology, centrality measures, community detection, and shortest path algorithms; using a multitude of public and nonpublic data sources. The Graph Data Scientist must have three (3) or more years of hands-on experience in Statistical and machine learning foundations, clustering, classifiers and anomaly detection as applied to graph structured data. The Graph Data Scientist must have three (3) or more years of hands-on experience applying graph methods to fraud detection and knowledge graphs. The Graph Data Scientist should have experience designing, implementing, and optimizing graph data pipelines, data models, and schemas that support largescale, highcomplexity networks, preferably within large federal benefit programs.