Graph Data Scientist

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Ardent

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

🤖 Artificial Intelligence

🔒 Cybersecurity

🏛️ Government

Artificial Intelligence • Cybersecurity • Government

Ardent is a premier technology firm serving the public sector, focused on delivering mission-critical solutions. They specialize in data science and analytics, digital transformation, and location intelligence, helping organizations to make better decisions, modernize their systems, and decode spatial data. Ardent is committed to defending against man-made and natural threats, providing effective solutions such as cloud applications, cybersecurity, and spatial data science. They work closely with federal agencies, including the Department of Homeland Security, to ensure national safety. Their solutions are tailored to thrive in complex environments, proven in case studies, and delivered with the speed and precision required by their clients' missions.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• competitive pay • comprehensive health coverage • flexible PTO • federal holidays off • tuition reimbursement • professional development support • wellness stipends • culture that values and rewards hard work, dedication, and adaptability