About
Graph Data Scientist
Location:
Charlotte, NC (Day 1 Onsite)
Job Type:
Contract
Experience:
Mid-Senior level Job Overview
Our client is 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 across enterprise use cases. Key Responsibilities
Design and develop graph data models using Neo4j or TigerGraph Build and manage knowledge graphs for enterprise use cases including fraud detection, relationship mapping, and pattern discovery Apply data science and ML techniques to extract actionable insights from graph data Develop and optimize 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 production applications Required Skills
Strong hands-on experience with 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 Skills
Experience with knowledge graphs and semantic data models Exposure to hybrid architectures combining graph databases with AI systems Location & Work Model
Charlotte, NC - Onsite from Day 1. Candidates must be willing and able to work on-site immediately. Engagement Details
Contract engagement. Two openings available. Immediate start preferred.
Languages
- English
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