Graph Data Scientist

• 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

• 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.

Full-time, regular employees at Amida enjoy a robust benefits package that includes a generous 401(k) match with immediate vesting, 4 weeks of PTO, paid parental leave, medical insurance, dental insurance, vision insurance, life/AD&D insurance, and short-term disability. We also offer tuition/training assistance and team-building opportunities to encourage professional growth and collaboration.

Amida Technology Solutions is a DC-based technology company focused on data interoperability, integrity, governance, and security. We create solutions that collect, reconcile, transform, and standardize data for business intelligence, advanced analytics, decision support, and user transactions. We specialize in taking data from inception to impact.

Our team is composed of creative, forward-looking thinkers who are passionate about using cutting-edge technology to improve lives and generate a positive impact on our country. We offer an entrepreneurial, high-growth environment that values fresh ideas, candid conversations, and authentic teamwork.

Amida is 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. The candidate must be able to work a hybrid schedule in our DC office.