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# Data Scientist

- **Company:** Argonne National Laboratory
- **Location:** Lemont, IL, United States
- **Experience:** Expert
- **Salary:** $94,486.0 - $147,399.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Data Analysis, Experimental Data, Monitoring of Systems, Python (Programming Language), Machine Learning
- **Published:** August 12, 2026
- **Apply:** https://argonne.wd1.myworkdayjobs.com/Argonne_Careers/job/Lemont-IL-USA/Data-Scientist_423270

## About the Role

* A graduate degree in physics or physical chemistry and experience using advanced statistical methods for data analysis
 * Possess familiarity with machine learning techniques applicable to problems with limited training data
 * Ability to program in a variety of languages, including Python and R
 * Familiarity with nuclear physics and gamma spectroscopy
 * Familiarity with both Bayesian and frequentist statistical concepts and methods
 * Experience applying statistical concepts to detection/classification problems
 * To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract. The selected candidate will be required to obtain and maintain a clearance. Please see http://www.state.gov/m/ds/clearances/c10978.htm for more information about requirements for obtaining a security clearance process

The selected candidate will be placed at the appropriate level (RD2 or RD3) depending upon the depth and breadth of relevant knowledge, skills, and experience brought to the position. The requirements for the desired levels are as follows:

 * RD2 Level: Bachelors and 5+ years; Master's and 3+ years; Doctorate and 0+ years in physics or physical chemistry, or equivalent. The expected pay range for this position is $94,486 - $147,399.
 * RD3 Level: Bachelor's and 8+ years; Master's and 5+ years; Doctorate and 4+ years in physics or physical chemistry, or equivalent. The expected pay range for this position is $116,250 - $181,350.

## Description

* Develop and apply new machine learning and statistical analysis methods for processing experimental data
 * Maintain, enhance, and document existing statistical analysis methods used by the group
 * Collaborate with software engineers to support the transition of algorithms from research to prototype-ready deployment
 * Assist in long-term planning of project direction and scope as new opportunities arise.
 * Assist software engineers with in-field integration, testing, and operational support of new algorithms
 * Conduct testing and evaluation of new algorithms based on theoretical analysis and experimental evaluation
 * Ability to travel up to 15% of the time, including domestic and international field travel to deploy, test, develop, and collect data on sensor and monitoring systems.


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