Ampstek

Graph Data Scientist(Neo4j / TigerGraph + Data Science)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term contract for a Graph Data Scientist in Charlotte, NC, requiring expertise in Neo4j/TigerGraph, data science (Python, Pandas, ML), and graph algorithms. Experience with knowledge graphs and Gen AI integration is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 17, 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
#AI (Artificial Intelligence) #Knowledge Graph #Databases #"ETL (Extract #Transform #Load)" #Pandas #Data Processing #Anomaly Detection #HBase #TigerGraph #Neo4J #ML (Machine Learning) #Python #Data Modeling #Data Science #Graph Databases #PyTorch #Clustering #TensorFlow
Role description
Role: Graph Data Scientist(Neo4j / TigerGraph + Data Science) Location: Charlotte, NC (Onsite) Job Type: Long Term Contract Job Description: 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 Thanks and regards, Deepa Maurya | Technical Recruiter - US Staffing Email: deepa.m@ampstek.com | Desk: (609) 527-8971 Ampstek LLC – Global IT Partner | www.ampstek.com