> Markdown version of [/jobs/ext/2035237-graph-data-scientist](https://www.wearedevelopers.com/jobs/ext/2035237-graph-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Graph Data Scientist - **Company:** SRADHA TECHNOLOGIES LLC - **Location:** Charlotte, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Network Analysis, Extract Transform Load (ETL), Data Systems, Graph Database, Python (Programming Language), Neo4j, Tensorflow, Pytorch, Large Language Models, Pandas, Scikit Learn, Data Analytics - **Published:** August 12, 2026 - **Apply:** https://www.dice.com/job-detail/581da81c-03c0-4c22-90cb-6d7e2bafbe8e ## About the Role 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., 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 ## Description Design and develop graph data models using Neo4j/TigerGraph ## Related Videos - [Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j](https://www.wearedevelopers.com/videos/1311-graphs-and-rags-everywhere-but-what-are-they-andreas-kollegger-neo4j) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)