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 for 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