About this role
Graph Data Scientist (Fraud Analytics & Investigative Support) at Praescient Analytics. Location: United States. Role: designing solutions, building graphs, analyzing networks Requirements: 3+ years developing graph analytics (Neo4j/Cypher) and applying ML to graph data for fraud detection; strong Python and ML library experience; ability to obtain Public Trust and US citizenship required. Category: Data and Analytics Seniority: Mid Level Tools: Neo4j, Cypher, Neo4j Graph Data Science (GDS), Python, NetworkX, Pandas, Scikit-learn, PyTorch Geometric, Azure Databricks, Microsoft SQL Server, Azure Data Lake, Microsoft Fabric, Power BI, Git Commitment: Full Time Workplace: Remote Languages: English