[Remote] Graph Data Scientist

Note: The job is a remote job and is open to candidates in USA. Ardent is a company dedicated to supporting national security and defense priorities. They are seeking a Graph Data Scientist to develop graph-based analytics solutions that aid in fraud prevention and investigative analysis within a federal environment.

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, patterns, and connections across entities
• Develop graph models representing individuals, organizations, transactions, accounts, programs, and other relevant entities
• Apply graph algorithms involving centrality, community detection, link analysis, path analysis, clustering, and anomaly detection
• Integrate graph analytics with machine learning, statistical analysis, and other advanced analytic methods
• Analyze structured, semi-structured, and unstructured data from public, non-public, and commercial sources
• Support entity resolution, identity matching, relationship mapping, and risk-scoring activities
• Develop and refine fraud-detection models, rules, and investigative use cases
• Collaborate with investigators and analysts to translate operational and investigative needs into graph analytics solutions
• Build visualizations, link charts, dashboards, and other work products that clearly communicate complex relationships
• Support the development, testing, validation, and deployment of graph analytics models and applications
• Evaluate model performance and recommend adjustments to improve accuracy, scalability, and usefulness
• Document methodologies, data sources, assumptions, model designs, findings, and limitations
• Participate in technical reviews, quality-control activities, and project demonstrations
• Present analytical findings and recommendations to technical and non-technical stakeholders
• Support the maintenance and improvement of deployed graph analytics solutions

Skills

• Minimum of 3 years of hands-on experience using Neo4j or a similar graph database
• Proficiency with Cypher or a comparable graph query language
• Minimum of 3 years of hands-on experience applying graph methods to fraud detection, investigative analytics, risk analysis, or knowledge graph initiatives
• Strong understanding of network topology, centrality measures, community detection, path analysis, clustering, and relationship analysis
• Minimum of 3 years of experience applying statistical and machine learning techniques to graph-structured data
• Experience working with graph algorithms, anomaly detection, classification, or predictive modeling
• Experience designing, implementing, and optimizing graph data pipelines, data models, and graph schemas
• Experience working with large, complex, and high-volume datasets
• Strong Python skills using standard machine learning, data science, and graph analytics libraries
• Experience with data preparation, feature engineering, model validation, and performance evaluation
• Experience communicating complex analytical findings through visualizations, reports, and presentations
• Strong analytical, problem-solving, and communication skills
• Ability to collaborate with technical teams, investigators, analysts, and government stakeholders
• Ability to successfully complete and maintain the required government background investigation
• Experience supporting federal fraud prevention, investigative, oversight, or program-integrity initiatives
• Experience working with Offices of Inspectors General, law enforcement organizations, or federal benefit programs
• Experience developing graph analytics solutions involving fraud rings, identity fraud, financial networks, or suspicious relationship patterns
• Experience with Neo4j Graph Data Science, NetworkX, PyTorch Geometric, DGL, or similar graph analytics libraries
• Experience with knowledge graphs, entity resolution, link prediction, or graph embeddings
• Experience integrating graph databases with cloud platforms, data lakes, or enterprise analytics environments
• Experience with Azure Databricks, Microsoft SQL Server, Power BI, or comparable technologies
• Experience deploying graph analytics solutions into production environments
• Bachelor's or advanced degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field

Benefits

• Competitive pay
• Comprehensive health coverage
• Flexible PTO
• Federal holidays off
• Tuition reimbursement
• Professional development support
• Wellness stipends
• A culture that values and rewards hard work, dedication, and adaptability

Company Overview