Graph Data Scientist

We are seeking a Graph Data Scientist. The successful candidate will work across our client engagements and internal research projects, helping the company develop graph algorithms and techniques to support advanced data management designs, including dimension-rich and time-series-based decision systems. This role will report to the Director of Solutions The ideal candidate will be motivated by the opportunity to support public agencies, nonprofit organizations, and private companies in transforming their data into actionable insights. Candidate must be able to work a hybrid schedule in our DC office.Read all the information about this opportunity carefully, then use the application button below to send your CV and application.What you will do:Serve as the company's expert in all aspects of graph data modeling, including schema development, tradeoff data connectivity with retrieval/query performanceDesign, implement, and optimize graph algorithms and data structures for applications in decision support, classificationSupervise, help create, and implement algorithms for encoding and embedding, clustering, outlier detection, community detection, and dimensionality reductionBuild distributed training pipelines that can handle large graphs (100 M+ graph element)Design and write queries, stored procedures for data loading, migration from existing databases, and retrievalInterface with customers and internal resources to ensure alignment of expectations and objective progress towards the application of graph in advanced analytical systemsAuthor white papers, technical documentation, patents, and present at conferencesMentor and train data scientists on graph theory, graph analytics and graph-based solution architecturesOther duties as assignedRequired Education:Master's degree in computer science, mathematics, or engineering with a strong focus on graph theory, algorithms, and data structuresRequired Experience:5+ years of recent professional experience in graph Machine Learning3+ years of recent professional experience in the development and implementation of graph algorithms and data structures, including heterogeneous graphs for new applications3+ years leading research initiativesRequired Skills:Proficient with data modeling, schema design, database optimization, performance monitoringProficient in software development using 4GLsFamiliarity with graph libraries and frameworks, and machine learning libraries (e.g., PyTorch Geometric, xhyhwjd 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 customersIntellectually curious and passionate about exploring new frontiers in graph theory with an emphasis on real-world applicationsDesire and ability to stay current with both academic and industry literatureMust be U.S. Citizen or Green Card holder due to customer requirementsPreferred:Experience with Neo4j, Cosmos DB, ArangoDBExperience with cloud services and their database management systemPh.D. in Computer Science, Mathematics, or Engineering with a strong focus on graph theory, algorithms, and data structures