> Markdown version of [/jobs/ext/2711471-graph-data-scientist](https://www.wearedevelopers.com/jobs/ext/2711471-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:** Amida Technology Solutions Inc - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Query Performance, Cluster Analysis, Encodings, Databases, Extract Transform Load (ETL), Data Structures, Decision Support Systems, Graph Theory, Machine Learning, Neo4j, Cloud Services, Software Engineering, SQL Stored Procedures, Pytorch, Database Optimization, Apache Spark, Information Technology, Performance Monitor, Cosmos DB, Software Library, Databricks - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/8c9dec85-6e88-4308-8e0b-168cc4c0e429 ## About the Role * Master's degree in computer science, mathematics, or engineering with a strong focus on graph theory, algorithms, and data structures, * 5+ years of recent professional experience in graph Machine Learning * 3+ years of recent professional experience in the development and implementation of graph algorithms and data structures, including heterogeneous graphs for new applications * 3+ years leading research initiatives, * Proficient with data modeling, schema design, database optimization, performance monitoring * Proficient in software development using 4GLs * Familiarity with graph libraries and frameworks, and machine learning libraries (e.g., PyTorch Geometric, DGL, GDS) * Proficient in at least one Apache Spark-based cloud service (e.g., Azure Databricks) * Commitment to and engagement in building strong and trustful relationships with teammates, business partners, and customers * Intellectually curious and passionate about exploring new frontiers in graph theory with an emphasis on real-world applications * Desire and ability to stay current with both academic and industry literature Preferred: * Experience with Neo4j, Cosmos DB, ArangoDB * Experience with cloud services and their database management system * Ph.D. in Computer Science, Mathematics, or Engineering with a strong focus on graph theory, algorithms, and data structures, Communication is the key to success at Amida. Our people are known for their can-do attitude and their ability to work effectively with both internal and client teams. We pride ourselves on having a collegial, multidisciplinary team with diverse backgrounds and experience. Our best team members pay intense attention to detail in all aspects of their work, have great initiative, are opinionated about the best ways of doing things, and align quickly to decisions. A sense of humor is an asset at Amida. ## Description * Serve as the company's expert in all aspects of graph data modeling, including schema development and tradeoff data connectivity with retrieval/query performance * Design, implement, and optimize graph algorithms and data structures for applications in decision support, classification * Supervise, help create, and implement algorithms for encoding and embedding, clustering, outlier detection, community detection, and dimensionality reduction * Build distributed training pipelines that can handle large graphs (100 M+ graph elements) * Design and write queries and stored procedures for data loading, migration from existing databases, and retrieval * Interface with customers and internal resources to ensure alignment of expectations and objective progress towards the application of graphs in advanced analytical systems * Author white papers, technical documentation, and patents and present at conferences * Mentor and train data scientists on graph theory, graph analytics, and graph-based solution architectures * Other duties as assigned ## Related Videos - [Your organization as a Graph](https://www.wearedevelopers.com/videos/2051-your-organization-as-a-graph) - [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) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## 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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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)