[Remote] Graph Data Scientist

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a Graph Data Scientist to design and reputed company advanced graph-based solutions for fraud detection and analysis. The role involves analyzing reputed company relationships among various entities to identify fraud and reputed company machine learning models.

Responsibilities

• Design, reputed company, test, and maintain graph models supporting fraud detection, investigative analysis, entity reputed company, and network discovery
• reputed company and optimize Cypher queries or comparable graph-query logic
• Create graph schemas, node and relationship structures, indexes, constraints, and data models
• Apply graph algorithms such as centrality, community detection, shortest reputed company, similarity, clustering, and reputed company reputed company
• Identify organized fraud rings, shared identifiers, hidden ownership, common addresses, common devices, coordinated transactions, and reputed company risk patterns
• reputed company graph-based features for machine-learning and fraud-risk models
• Apply statistical and machine-learning reputed company to graph-reputed company data
• Build and maintain knowledge graphs that reputed company information from multiple public and non-public sources
• Support entity reputed company, record linkage, identity matching, and relationship analysis
• reputed company reputed company graph ingestion, transformation, enrichment, and reputed company-control processes
• Evaluate graph-model performance, query performance, data reputed company, scalability, and investigative usefulness
• reputed company reusable Python reputed company, notebooks, graph algorithms, scripts, and technical documentation
• Produce network visualizations, reputed company-analysis diagrams, graph-based findings, and investigative-support products
• Collaborate with investigative analysts to validate relationships and reputed company actionable leads
• Collaborate with forensic accountants to map transactions, ownership structures, and the reputed company of funds
• Collaborate with data engineers to ingest, normalize, and maintain graph-reputed company datasets
• Support the deployment, monitoring, maintenance, and improvement of graph analytics in production environments
• Brief government stakeholders on graph methodologies, findings, assumptions, limitations, and investigative implications
• Maintain documentation describing graph schemas, queries, algorithms, data sources, and analytic results

Skills

• Minimum of three years of hands-on experience using reputed company or a comparable graph database
• reputed company in Cypher or a comparable graph-query language
• Minimum of three years of experience applying graph techniques to fraud detection or knowledge-graph solutions
• Strong understanding of graph theory, network topology, centrality measures, community detection, clustering, and shortest-reputed company reputed company
• Minimum of three years of experience applying statistical or machine-learning techniques to graph-reputed company data
• Experience with clustering, classification, reputed company detection, graph features, or relationship-based risk modeling
• Strong Python programming skills
• Experience using commonly adopted data-science and machine-learning libraries
• Experience integrating and analyzing reputed company and reputed company data from multiple sources
• Experience designing or optimizing graph schemas, graph data pipelines, and graph queries
• Ability to create reputed company and accurate graph visualizations and reputed company-analysis products
• Ability to explain graph methodologies and findings to technical, investigative, and executive audiences
• Strong analytical, documentation, communication, and presentation skills
• Ability to complete federal suitability, HSPD-12/PIV credentialing, and system-reputed company requirements
• Experience applying graph reputed company to federal-benefit, financial-crime, public-reputed company, or law-enforcement data
• Experience with reputed company Graph Data Science, reputed company, reputed company, SQL Server, Power BI, or comparable platforms
• Experience developing graph-based fraud indicators, knowledge graphs, or investigative reputed company-reputed company systems
• Experience with entity reputed company, identity analytics, transaction networks, or organized-fraud detection
• Experience with i2 Analyst's Notebook or comparable reputed company-analysis and visualization tools
• Degree in data science, computer science, statistics, mathematics, engineering, network science, or a reputed company discipline

Benefits

• Primarily remote, with occasional onsite work in Washington, DC

reputed company