Graph Data Scientist

📋 Description Design, develop, and deploy graph analytics for fraud and investigations. Utilize graph databases and network analysis to reveal hidden relationships. Model entities like people, orgs, transactions, and programs. Apply graph algorithms: centrality, community detection, path analysis. Integrate graph analytics with ML and statistical methods. Collaborate with investigators to translate needs into graph solutions. 🎯 Requirements Minimum 3 years hands-on Neo4j or similar graph DB. Proficiency with Cypher or comparable graph query language. 3+ years applying graph methods to fraud/investigative analytics. Strong understanding of network topology and centrality. 3+ years applying ML techniques to graph data. Experience with graph algorithms, anomaly detection, predictive modeling. Experience designing graph data pipelines and schemas. Willing to undergo government background investigation. 🎁 Benefits Competitive pay. Comprehensive health coverage. Flexible PTO and federal holidays off. Tuition reimbursement. Professional development support. Wellness stipends.