Entry-Level Data Scientist

Amida Technology Solutions•Washington, DC
•Hybrid

About The Position

Amida Technology Solutions is seeking an Entry-Level Data Scientist to apply academic training to real-world projects and develop skills alongside experienced mentors. The role focuses on graph algorithms and techniques supporting advanced data management designs, including dimension-rich and time-series-based decision systems. The position is 40 hours per week. The initial three months are a temporary, hourly engagement, with the possibility of conversion to a full-time position based on performance and business needs. Candidates must be able to work three days per week at Amida's Washington, DC headquarters.

Requirements

  • Bachelor's degree in computer science, mathematics, or engineering, preferably with a strong focus on graph theory, algorithms, and data structures.
  • Demonstrated passion for data science and eagerness to learn new techniques and technologies.
  • Working knowledge of Python.
  • Enjoy collaboration.
  • Superior communication skills.
  • Excellent organizational skills.
  • Attention to detail.
  • Self-motivated.
  • Must be a U.S. citizen or Green Card holder.
  • At least one of the following skillsets: familiarity with graph and machine learning libraries/frameworks (e.g., PyTorch Geometric, DGL, GDS); experience with NumPy, Pandas, and Matplotlib; Azure Databricks; graph algorithms or techniques; software testing concepts or methodologies; software development; or Cypher or Gremlin query language.

Responsibilities

  • Design, implement, and optimize graph algorithms and data structures for decision support and classification applications.
  • Supervise, help create, and implement algorithms for encoding and embedding, clustering, outlier detection, community detection, and dimensionality reduction.
  • Build distributed training pipelines capable of handling large graphs with 100 million or more graph elements.
  • Design and write queries and stored procedures for data loading, migration from existing databases, and data retrieval.
  • Contribute to white papers and technical documentation.

Benefits

  • Generous 401(k) match with immediate vesting for full-time employees.
  • Medical insurance for full-time employees.
  • Dental insurance for full-time employees.
  • Vision insurance for full-time employees.
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