Amida Technology Solutions is seeking a Senior Graph Data Scientist to help the company develop graph algorithms and techniques to support advanced data management designs, including dimension-rich and time-series-based decision systems, for public agencies, nonprofit organizations, and private companies.
Requirements
- 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
- 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)
- Experience with Neo4j, Cosmos DB, Arango DB
Responsibilities
- Serve as the company's expert in all aspects of graph data modeling, including schema development, 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 element)
- Design and write queries, 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 graph in advanced analytical systems
- Author white papers, technical documentation, patents, and present at conferences
Other
- 3+ years leading research initiatives
- Mentor and train data scientists on graph theory, graph analytics and graph-based solution architectures
- 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
