Envision Technology Solutions
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Graph Data Scientist in Charlotte, NC, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Neo4j/TigerGraph expertise, data science proficiency (Python, Pandas), and experience with graph algorithms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 22, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Pandas #HBase #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Graph Databases #Knowledge Graph #Clustering #ML (Machine Learning) #PyTorch #TensorFlow #Data Modeling #Databases #Data Science #TigerGraph #Data Processing #Anomaly Detection #Python #Neo4J
Role description
Role: Graph Data Scientist
Location: Charlotte, NC
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
Role: Graph Data Scientist
Location: Charlotte, NC
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
