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Graph Data Scientist

Satsyil CorporationTysons, VA🇺🇸United StatesPosted 9 Jul 2026

Why This Role Stands Out

This hybrid role at Satsyil Corporation offers a fantastic opportunity to leverage your expertise in graph databases and data science to combat fraud, with significant potential for professional growth. You'll thrive here if you have a strong background in graph theory, machine learning, and Python, and are eager to apply these skills to complex, real-world challenges within a reputable technology company. Apply now to join their innovative team!

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Role: Graph Data Scientist
Office Location: 1775 Tysons Blvd, VA (Hybrid) 
Duration: FTE(W2)
 
• 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 large-scale, high-complexity networks, preferably within large federal benefit programs.
• The Graph Data Scientist should have strong Python skills using standard machine learning libraries are required.

Skills

Neo4j
Machine Learning
Python

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