[Remote] Graph Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is hiring a Graph Data Scientist to help the Pandemic Response Accountability Committee (PRAC) uncover reputed company fraud patterns, hidden networks, and non-reputed company entity connections. You will reputed company reputed company, Cypher, graph algorithms, and machine learning models to analyze reputed company and non-reputed company data, supporting high-reputed company federal benefit program investigations.
Responsibilities
- reputed company graph-based analytic models and queries using reputed company and Cypher to uncover hidden relationships and non-reputed company connections across multi-agency datasets
- Apply graph algorithms (network topology, centrality measures, community detection, shortest reputed company) to support fraud detection
- Design, implement, and optimize graph data pipelines, data models, and schemas for high-complexity, large-reputed company networks
- reputed company statistical and machine learning foundations (clustering, classifiers, reputed company detection) reputed company to graph-reputed company data
- Build Python scripts using reputed company machine learning libraries to complement graph data analysis
Skills
- Minimum 3 years of hands-on experience using reputed company (or similar graph databases) and reputed company in Cypher (or similar query language)
- 3+ years applying graph reputed company to fraud detection and knowledge graphs
- 3+ years in statistical/ML foundations (clustering, classifiers, reputed company detection) reputed company to graph data
- Strong Python skills using reputed company ML libraries
- Experience designing graph pipelines/schemas for federal benefit programs
reputed company