We are seeking a Senior Graph Data Scientist to support client engagements and internal research initiatives. This role will focus on developing graph algorithms and techniques to support advanced data management solutions, including dimension-rich and time-series-based decision systems. The role will report to the Director of Solutions.

Preference will be given to candidates who can work a hybrid schedule from Amida's DC or Richmond, VA offices.

• Serve as Amida's subject-matter expert in graph data modeling, including schema development and performance optimization
• Design, implement, and optimize graph algorithms for decision support, classification, and advanced analytics
• Develop algorithms for graph embedding, clustering, outlier detection, community detection, and dimensionality reduction
• Build distributed training pipelines capable of handling very large graphs (100M+ graph elements)
• Design and write queries and stored procedures for data loading, migration, and retrieval from graph databases
• Interface with customers and internal teams to align expectations and advance graph-based analytical solutions
• Author white papers, technical documentation, and support conference presentations
• Mentor and train data scientists on graph theory, graph analytics, and graph-based solution architectures

• 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 experience developing and implementing graph algorithms and data structures, including heterogeneous graphs
• 3+ years of experience leading research initiatives

• Strong background in graph data modeling, schema design, and database optimization
• Proficiency with graph libraries and machine learning frameworks (eg, PyTorch Geometric, DGL, Graph Data Science tools)
• Experience with distributed data processing and Spark-based cloud services (eg, Azure Databricks)
• Familiarity with graph databases and query languages
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders
• Ability to obtain a Public Trust clearance

• Experience with Neo4j, Cosmos DB, ArangoDB
• Experience with cloud-based database services
• PhD in Computer Science, Mathematics, or Engineering with a focus on graph theory