Graph Data Scientist

Job Title: Graph Data Scientist
Location: WASHINGTON, DC 20006
Note: This is an onsite position

Job Description:

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.

The Graph Data Scientist should have strong Python skills using standard machine
Learning libraries are required.