Data Scientist - Machine Learning & AI - Savannah River National Laboratory
Data Scientist
Lead research and development of large‑language models for cybersecurity, building robust, test‑driven code in Python and deploying deep learning solutions with CI/CD pipelines.
About the role
Key Responsibilities
Design, implement, and maintain large‑language model research tools tailored to cybersecurity data.
Develop high‑quality, production‑ready Python code with comprehensive unit tests and continuous integration workflows.
Apply state‑of‑the‑art deep learning frameworks (e.g., PyTorch, TensorFlow) to build and optimize AI models.
Collaborate with cross‑functional teams to translate research findings into deployable solutions.
Document methodologies, results, and codebases to support reproducibility and knowledge sharing.
Requirements
PhD or equivalent experience in Computer Science, AI, or related field.
Strong background in machine learning, AI, and cybersecurity.
Proficiency in Python, deep learning libraries, and test‑driven development.
Experience with CI/CD pipelines and automated testing frameworks.
Excellent communication skills and ability to work independently and in teams.