Data Scientist I

JLABHCM20 • Newport News, VA

2d • $80,300 - $142,300 • Hybrid

About The Position

Jefferson Lab is hiring 2 Data Scientists for 2-year term appointments. This role will work on all elements of the data science workflow, including data preprocessing, analyzing data using exploratory mathematics and statistical techniques, developing and optimizing AI/ML models, and developing agentic workflows. The position will also recommend various technology options or approaches for system and processes improvements in terms of performance, efficiency, cost, or safety. The role involves 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 with deployment and continual learning workflows, and Uncertainty Quantification for ML. Additionally, the Data Scientist will develop and maintain high-quality software for data science projects.

Requirements

• 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,
• 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
• Ability to develop approaches and solutions to complex problems in the forms of proposals, software, documents or other work products

Nice To Haves

• 2 or more years of Postdoc experience
• Experience with contributing and leading tasks on large projects with multi-disciplinary teams
• Ph.D.

Responsibilities

• 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.
• Develop and maintain high quality software for data science projects (machine learning, continual learning, uncertainty quantification).

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level