Data Science Engineer

LLNL•Livermore, CA

17h•Hybrid

About The Position

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design, development, and deployment of AI-driven capabilities — including large language models (LLM)-based pipelines, knowledge graphs, and intelligent agent prototypes — that advance data and decision sciences for national security. Working alongside senior engineers and domain experts, you will write production-quality code, help build analytical tools and visualizations, and contribute fresh ideas to challenging problems. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate, in support of impactful Global Security Directorate missions. Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

Requirements

Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship.
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field.
Experience with Python programming and software development, including version control (Git), testing, and documentation (through academics, internships, or research projects).
Demonstrated experience developing generative AI solutions, such as building applications with LLMs, implementing retrieval-augmented generation (RAG), fine-tuning foundation models, or engineering LLM-driven data pipelines.
Experience in the space domain, such as space domain awareness, satellite operations, orbital analysis, or applying data science methods to space-related datasets.
Sufficient communication and interpersonal skills necessary to collaborate in a multidisciplinary team environment and present technical information to varied audiences.

Nice To Haves

Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field.
Experience building LLM-driven workflows for automating question-answering, summarization, or structured report generation.
Experience constructing knowledge graphs from extracted entities and relationships and applying graph-based retrieval (e.g., graph-RAG) to enable intelligent querying over complex domains.
Experience developing AI agents or chatbot interfaces — using frameworks such as LangChain, LlamaIndex, or similar — that allow end users to interact with underlying data and models through natural language.
Track record of publications, conference presentations, and deployed prototypes.

Responsibilities

Under the guidance of senior team members, apply machine learning and data science algorithms to help analyze national security datasets.
Contribute to LLM-driven data pipelines for information extraction, entity resolution, and automated analysis of large-scale structured and unstructured datasets.
Help build and maintain knowledge graphs and graph-based analytics (e.g., graph-RAG) to model relationships across national security domains.
Assist in prototyping AI agents and conversational interfaces that allow analysts to query data science capabilities through natural language.
Write clean, well-documented code to implement data science solutions, create visualizations, and support analytical tools, following software engineering best practices for version control, testing, and documentation.
Collaborate with multidisciplinary teams including intelligence analysts, domain scientists, and computer scientists in building research prototypes and capabilities.
Contribute to technical reports, internal presentations, and peer-reviewed publications and conference papers.
Perform other duties as assigned.