Data Science Intern: Graph Analytics & Big Data

Amida Technology Solutions; Washington (District of Columbia); On-site; USD 25,000 - 36,000; Full time

Benefits offered by this job

401(k) match with immediate vesting

Medical, dental, and vision insurance

Job summary

Amida Technology Solutions in Washington, DC seeks highly motivated interns to apply classroom data science knowledge to real-world graph algorithms projects. This 3‑month, 40‑hour/week internship requires three days per week in the Washington, DC headquarters and aims to transition to full-time employment.

Responsibilities include designing and optimizing graph algorithms, embedding, clustering, and scalable graph processing, plus writing data loading queries and contributing to technical docs.

Qualifications

• Demonstrated passion for data science and eagerness to learn new techniques and technologies
• Working knowledge of Python
• Excellent organizational skills
• Superior communication skills
• Attention to details
• Must be a U.S. citizen or Green Card holder
• Familiarity with graph libraries and frameworks and machine learning libraries (e.g., PyTorch Geometric, DGL, GDS)
• Libraries like NumPy, Pandas, and Matplotlib
• Graph algorithms/techniques
• Software testing concepts/methodologies
• Software development
• Cypher or Gremlin query language

Responsibilities

• Design, implement, and optimize graph algorithms and data structures for applications in decision support
• 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, stored procedures for data loading, migration from existing databases, and retrieval
• Contribute to white papers and technical documentation

Education

Bachelor's degree in computer science, mathematics or engineering

Job description

Amida Technology Solutions in Washington, DC seeks highly motivated interns to apply classroom data science knowledge to real-world graph algorithms projects. This 3‑month, 40‑hour/week internship requires three days per week in the Washington, DC headquarters and aims to transition to full-time employment.

Responsibilities include designing and optimizing graph algorithms, embedding, clustering, and scalable graph processing, plus writing data loading queries and contributing to technical docs.