> Markdown version of [/jobs/ext/1666048-graph-data-scientist](https://www.wearedevelopers.com/jobs/ext/1666048-graph-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Graph Data Scientist - **Company:** TRI FORCE - **Location:** Washington, DC, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Query Languages, Fraud Prevention and Detection, Graph Database, Machine Learning, Neo4j, Data Pipelines - **Published:** July 1, 2026 - **Apply:** https://www.dice.com/job-detail/6a342289-40b6-4fe9-9617-d7d5ffbd35f2 ## About the Role 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. ## 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. ## Related Videos - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j](https://www.wearedevelopers.com/videos/1311-graphs-and-rags-everywhere-but-what-are-they-andreas-kollegger-neo4j) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Your organization as a Graph](https://www.wearedevelopers.com/videos/2051-your-organization-as-a-graph) - [Give Your LLMs a Left Brain](https://www.wearedevelopers.com/videos/1160-give-your-llms-a-left-brain) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [The Fastest JavaScript Charts - Built for React and Beyond](https://www.wearedevelopers.com/magazine/636-the-fastest-javascript-charts-built-for-react-and-beyond) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)