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# Data Scientist I

- **Company:** Thomas Jefferson National Accelerator Facility (Jefferson Lab)
- **Location:** Newport News, VA, United States
- **Experience:** Experienced
- **Salary:** $80,300.0 - $142,300.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Artificial Neural Networks, Big Data, Program Optimization, Computer Engineering, Data Cleansing, Python (Programming Language), Machine Learning, Tensorflow, Workflow Management Systems, Pytorch, Large Language Models, Deep Learning, Scikit Learn, Information Technology, Data Analytics
- **Published:** June 12, 2026
- **Apply:** https://justjobs.com/career/17234746/Data-Scientist-I-Virginia-Newport-News

## About the Role

* Required: None
 * Preferred: 2 or more years of Postdoc experience
 * Preferred: Experience with contributing and leading tasks on large projects with multi-disciplinary teams

Education

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

Knowledge, Skills, and Abilities

 * 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

## Description

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.
In this job you will:

 * 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).


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