Note: The job is a remote job and is open to candidates in USA. MAGNUS Management Group LLC is a certified Woman Owned Small Business specializing in cybersecurity and IT solutions. They are seeking a Graph Data Scientist to develop advanced graph analytics to support fraud investigations across complex federal programs using Neo4j and machine learning techniques.
Responsibilities
- 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
- 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
- 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
- Must have three (3) or more years of hands-on experience applying graph methods to fraud detection and knowledge graphs
- 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
- Should have strong Python skills using standard machine learning libraries are required
Skills
- 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
- A deep understanding of network typology, centrality measures, community detection, and shortest path algorithms; using a multitude of public and nonpublic data sources
- 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
- Three (3) or more years of hands-on experience applying graph methods to fraud detection and knowledge graphs
- Strong Python skills using standard machine learning libraries
- Minimum 3 years using Neo4j or similar graph database
- Minimum 3 years developing graph analytics for fraud detection
- Experience with Cypher query language
- Strong Python programming skills
- Experience with graph algorithms including: Community Detection, Centrality Measures, Shortest Path, Link Analysis, Network Topology
- Experience with machine learning applied to graph data
- 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
Benefits
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
Company Overview
Company H1B Sponsorship