Remote Graph Data Scientist – Fraud Analytics

Magnus Management Group LLC; Washington (District of Columbia); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Health insurance

Paid time off

Vision insurance

Job summary

Magnus Management Group LLC is seeking a Graph Data Scientist to advance graph analytics for fraud investigations across complex federal programs. You will leverage Neo4j, graph algorithms, and machine learning to uncover hidden relationships and evolving fraud patterns.

The role requires hands-on experience with graph databases, Cypher or equivalent, and strong Python ML skills. Remote work is offered with focus on federal program data and large-scale networks.

Qualifications

• 3+ years hands-on experience using Neo4j or similar graph database.
• Fluency in Cypher or similar query language.
• 3+ years in statistical and machine learning foundations as applied to graph data.
• 3+ years applying graph methods to fraud detection and knowledge graphs.
• Experience designing graph data pipelines, data models, and schemas for large networks.
• Strong Python skills with standard ML libraries.

Responsibilities

• Develop advanced graph analytics to detect fraud across federal programs.
• Utilize Neo4j and graph algorithms to identify hidden relationships and fraud rings.
• Apply machine learning methods to graph-structured data for anomaly detection.
• Design and optimize graph data pipelines and schemas for large-scale networks.

Skills

Graph analytics

Python programming

Machine learning on graphs

Network analysis

Fraud detection

Tools

Neo4j

Cypher

Job description

Magnus Management Group LLC is seeking a Graph Data Scientist to advance graph analytics for fraud investigations across complex federal programs. You will leverage Neo4j, graph algorithms, and machine learning to uncover hidden relationships and evolving fraud patterns.

The role requires hands-on experience with graph databases, Cypher or equivalent, and strong Python ML skills. Remote work is offered with focus on federal program data and large-scale networks.