Lawrence Livermore National Laboratory
National Security
DataScienceEngineer
“Data Science Engineer at Lawrence Livermore National Laboratory. Skills: Machine learning, Generative AI, LLMs, Data Science. Apply machine learning algorithms. Analyze national security datasets”
Industry & Context.
Ability to secure and maintain a U. S. DOE Q-level security clearance, Requires U. S. citizenship, Ability to obtain and maintain Sensitive Compartmented Information (SCI) access, Federal background investigation, Random drug testing, Post-offer, pre-employment drug test, Restrictions with the use and/or possession of mobile devices in Limited Areas
What They're Looking For.
Must Have
U. S. DOE Q-level security clearance, U. S. citizenship, Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field, Experience with Python programming, Software development experience, Version control (Git), Testing experience, Documentation experience, Demonstrated experience developing generative AI solutions, Building applications with LLMs, Implementing retrieval-augmented generation (RAG), Fine-tuning foundation models, Engineering LLM-driven data pipelines, Experience in the space domain, Space domain awareness, Satellite operations, Orbital analysis, Applying data science methods to space-related datasets, Sufficient communication and interpersonal skills
Nice to Have
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, Structured report generation, Experience constructing knowledge graphs from extracted entities and relationships, Applying graph-based retrieval (e.g., graph-RAG), Experience developing AI agents, Chatbot interfaces, Using frameworks such as LangChain, LlamaIndex, Track record of publications, Conference presentations, Deployed prototypes
What You'll Do.
Apply machine learning algorithms
Analyze national security datasets
Contribute to LLM-driven data pipelines
Build and maintain knowledge graphs
Assist in prototyping AI agents
Create visualizations
Support analytical tools
Collaborate with multidisciplinary teams
Contribute to technical reports
Present technical information
How You'll Work.
Team & Collaboration
Collaborate with multidisciplinary teams; Work with senior engineers; Work with domain experts; Work with intelligence analysts; Work with domain scientists; Work with computer scientists
Communication Scope
Present technical information to varied audiences
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