Graph Data Scientist

Role :: Graph Data ScientistLocation: Charlotte, NCNo.of positions :: 2 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 ResponsibilitiesDesign and develop graph data models using Neo4j/TigerGraphBuild 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 dataDevelop graph algorithms (pathfinding, centrality, clustering, anomaly detection)Integrate graph platforms with Gen AI/LLM-based systems for intelligent decision-makingCollaborate with engineering and AI teams to embed graph insights into applications Required Skills Strong experience in Neo4j, TigerGraph, or similar graph databasesSolid background in data science (Python, Pandas, Scikit-learn, PyTorch/TensorFlow)Experience in graph algorithms and network analysisHands-on with data modeling, ETL, and large-scale data processingUnderstanding of Gen AI / LLM integration with structured data systems PreferredExperience with knowledge graphs and semantic data modelsExposure to hybrid architectures combining graph + AI systems