Job Title: 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.