Graph Data Scientist
Satsyil Corporation
McLean, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
McLean, United States of America
Tech stack
Query Languages
Fraud Prevention and Detection
Graph Database
Python
Machine Learning
Neo4j
Data Pipelines
Software Library
Requirements
- 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.