Data Scientist I

Jefferson Lab is a scientific research facility advancing challenging scientific and engineering work. The Data Scientist I will contribute to the full data science workflow, including data preprocessing, statistical analysis, AI/ML model development, optimization, and agentic workflows, while recommending technology improvements. The role also involves conducting research, developing software, publishing results, collaborating with researchers, and presenting technical work.

What you'll do:

• Participate in the research and development in machine learning and data science focused on applications such as:
• AI/ML based active control of large complex systems
• Surrogate modeling of particle accelerator processes, deployment and continual learning workflows
• Uncertainty Quantification for ML
• Conduct technical research in areas of interest to the projects
• Publish research results in highly visible, peer-reviewed venues (conferences, workshops & journals)
• Develop and maintain high quality software for data science projects (machine learning, continual learning, uncertainty quantification)
• Interact with internal and external researchers and domain scientists for collaboration purposes
• Participate and potentially lead technical presentations on the work
• Participate in team meetings and develop ideas for new projects/proposals

What they're looking for:

• Applicants must be authorized to work in the United States without current or future employer visa sponsorship
• Bachelor's Degree Computer Science, Data Science, Applied Mathematics, Computer Engineering, or a closely related technical area
• Proficiency in Python and familiarity with publicly available technical libraries for data analytics (e.g. scikit-learn), deep learning (e.g. Pytorch, Tensorflow) and optimization tools
• Proficiency in advance machine learning such as uncertainty quantification for ML, continual learning, graph neural networks
• And/or proficiency in agentic workflow tools such as LangChain, LangGraph
• Ability to operate computer equipment in an office or laboratory environment
• Strong interpersonal skills and ability to effectively work on project teams
• And/or proficiency in Large Language Models training and evaluation
• Ability to work with large datasets and mine relevant information for use in AI/ML applications
• Proactive, highly motivated self-starter
• Ability to develop approaches and solutions to complex problems in the forms of proposals, software, documents or other work products
• Ability to clearly communicate and report the progress on tasks and projects

Benefits:

• Medical, Dental, and Vision Care Plans
• Flexible Spending Accounts
• Paid Time-off and Leave Programs (Paid Parental, vacation, holidays, and sick leave)
• 401(k) Plan – 9% Lab Contribution; 100% vested
• Flexible Work Arrangements (Remote & Alternate Work Schedules available)
• Tuition Assistance, Training and Professional Development Programs