Senior Data Scientist

4 days ago

Washington, Washington, D.C., United States eSense Incorporated Full time

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.

What You Will Do

  • 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

Required Education

  • Master's degree in Computer Science, Mathematics, or Engineering with a strong focus on graph theory, algorithms, and data structures

Required Experience

  • 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

Required Skills

  • Strong background in graph data modeling, schema design, and database optimization
  • Proficiency with graph libraries and machine learning frameworks (e.g., PyTorch Geometric, DGL, Graph Data Science tools)
  • Experience with distributed data processing and Spark-based cloud services (e.g., 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

Preferred

  • 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

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