Graph Data Scientist
Share
Job Location:
Charlotte, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
Role :: Graph Data Scientist
Location: Charlotte NC
Type: C2C
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 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)
- 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
