Graph Data Scientist

Hybrid in Tysons, VA, US • Posted 3 days ago • Updated 3 days ago
Full Time
No Travel Required
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Graph Databases
  • Algorithms
  • Machine Learning (ML)
  • Neo4j
  • Python
  • Fraud

Summary

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 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10491343
  • Position Id: 9021227
  • Posted 3 days ago
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Venugopal Ankinapalli

Venugopal Ankinapalli

President @ Satsyil Corporation
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