Data Scientist

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Category:
Computer Science Technology and IT

Work Arrangement Type:
Hybrid - About 60% on-site

Classification:
Staff Computer Scientist I

At Jefferson Lab,you’llchampioncutting-edge science and operational excellence while shaping the future of discovery. Join us and make your mark – where excellence meets purpose, andgreat minds truly
matter.

The good-faith pay range for this role is $80,300 - $ 142,300 per year. Actual compensation may vary and may be above the posted range based on factors such as a candidate's skills, experience, education, certifications, and work location.

This position is not eligible for employer visa sponsorship. Applicants must be authorized to work in the United States without current or future employer visa sponsorship.

Work on all elements of the data science workflow (data preprocessing, analyzing data using exploratory mathematics, statistical techniques, developing and optimizing AI/ML models, developing agentic workflows). Recommend various technology options or approaches for system and processes improvements in terms of performance, efficiency, cost or safety.

• 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.

• Required:
  
  none
• Preferred: 2 or more years of postdoc experience
• Preferred: experience with contributing and leading tasks on large projects with multi-disciplinary teams.

• Required:
  
  Bachelor's Degree Computer Science, Data Science, Applied Mathematics, Computer Engineering, or a closely related technical area
• Preferred:
  Ph.D.

Education above the minimum may be substituted for experience. Relevant experience may not be substituted for education.

• 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 Lang Chain, Lang Graph
• 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

About Jefferson Lab

Join a community with a common purpose of solving the most challenging scientific and engineering problems of our time. The Jefferson Lab campusis located in southeastern

Virginia amidst a…