Entry-Level Data Scientist

Amida Technology Solutions•Washington, DC
•Hybrid

About The Position

Amida Technology Solutions is seeking a motivated Entry-Level Data Scientist to apply academic training to real-world projects and develop skills alongside experienced mentors. The role supports projects involving graph algorithms and techniques for 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 possible conversion to a full-time position based on performance and business needs. Candidates must be able to work three days per week at the company’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.
  • Enjoys collaboration.
  • Superior communication skills.
  • Excellent organizational skills.
  • Attention to detail.
  • Self-motivated.
  • Must be a U.S. citizen or Green Card holder.
  • Must have one or more of the additional skillsets listed in the posting.

Nice To Haves

  • Familiarity with graph libraries and frameworks and machine learning libraries, such as PyTorch Geometric, DGL, or GDS.
  • Experience with NumPy, Pandas, and Matplotlib.
  • Experience with Azure Databricks.
  • Knowledge of graph algorithms and techniques.
  • Knowledge of software testing concepts and methodologies.
  • Software development experience.
  • Knowledge of Cypher or Gremlin query language.

Responsibilities

  • Design, implement, and optimize graph algorithms and data structures for decision support and classification applications.
  • 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 million or more graph elements).
  • Design and write queries and stored procedures for data loading, migration from existing databases, and retrieval.
  • Contribute to white papers and technical documentation.

Benefits

  • 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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service