Graph Data Scientist

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Graph Data Scientist Location:

Charlotte, NC Graph Data Scientist (Neo4j / TigerGraph + Data Science) Role Summary We are looking for a highly skilled Graph Data Scientist to design and develop graph-based analytical solutions leveraging Neo4j/TigerGraph and advanced data science techniques. The role will focus on building knowledge graphs, detecting complex patterns, and enabling AI-driven insights. Key Responsibilities Design and develop graph data models using Neo4j/TigerGraph Build and manage knowledge graphs for enterprise use cases (fraud detection, relationship mapping, pattern discovery) Apply data science and ML techniques to extract insights from graph data Develop graph algorithms (pathfinding, centrality, clustering, anomaly detection) Integrate graph platforms with Gen AI/LLM-based systems for intelligent decision-making Collaborate with engineering and AI teams to embed graph insights into applications Required Skills Strong experience in Neo4j, TigerGraph, or similar graph databases Solid background in data science (Python, Pandas, Scikit-learn, PyTorch/TensorFlow) Experience in graph algorithms and network analysis Hands-on with data modeling, ETL, and large-scale data processing Understanding of Gen

AI / LLM

integration with structured data systems Preferred Experience with knowledge graphs and semantic data models Exposure to hybrid architectures combining graph + AI systems