Graph Data Scientist

Responsibilities

• Design, develop, and implement graph-based analytics solutions supporting fraud detection and investigative analysis
• Use graph databases and network analysis techniques to identify hidden relationships and patterns
• Develop graph models representing individuals, organizations, transactions, and other entities
• Apply graph algorithms involving centrality, community detection, link analysis, and anomaly detection
• Integrate graph analytics with machine learning and statistical analysis
• Support entity resolution, identity matching, and risk-scoring activities
• Build visualizations, link charts, and dashboards to communicate complex relationships
• Document methodologies, data sources, and model designs

Requirements

• Minimum 3 years of experience using Neo4j or similar graph databases
• Proficiency with Cypher or comparable graph query languages
• 3+ years applying graph methods to fraud detection, investigative analytics, or risk analysis
• 3+ years applying statistical and machine learning techniques to graph-structured data
• Strong Python skills with standard machine learning and graph analytics libraries
• Experience designing and optimizing graph data pipelines and schemas
• Ability to successfully complete and maintain a government background investigation

Preferred Qualifications

• Experience supporting federal fraud prevention or investigative initiatives
• Experience with Neo4j Graph Data Science, NetworkX, PyTorch Geometric, or DGL
• Experience with knowledge graphs, entity resolution, or graph embeddings
• Experience with Azure Databricks, Microsoft SQL Server, or Power BI
• Bachelor's or advanced degree in Data Science, Computer Science, Statistics, or a related field

About the Company

Ardent supports the federal government’s most critical national security and defense priorities, helping protect the nation and advance technologies that keep America secure.