Graph Data Scientist

Graph Data Scientist (Neo4j / TigerGraph + Data Science)

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Charlotte NC

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) xsgimln
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