Graph Data Scientist

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.