Data Science Engineer

About the role

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.

Responsibilities

• 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.

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.

Qualifications

• 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.

Benefits

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.

Pay

Pay Range $121,830 - $154,500 Annually

Schedule

This is a Career Indefinite position, open to Lab employees and external candidates.