Data Scientist

Argonne National Laboratory; Lemont (IL); On-site; USD 94,000 - 181,000; Full time

Job summary

Argonne National Laboratory in Lemont, IL, seeks a candidate to develop and apply machine learning and statistical analysis methods for processing experimental data. The role entails maintaining existing methods, collaborating with software engineers to deploy algorithms, and contributing to long-term project planning.

Applicants should hold a graduate degree in physics or physical chemistry with experience in advanced statistics, ML with limited data, and Python/R programming.

Qualifications

• Graduate degree in physics or physical chemistry with advanced statistical data analysis experience.
• Familiarity with machine learning techniques for limited training data.
• Proficiency in Python and R for data processing and modeling.
• Knowledge of nuclear physics and gamma spectroscopy.

Responsibilities

• Develop and apply new ML and statistical methods for processing experimental data.
• Maintain, enhance, and document existing statistical analysis methods.
• Collaborate with software engineers to deploy algorithms from research to prototype.
• Assist in long-term project planning and scope definition.
• Support in-field integration, testing, and operation of new algorithms.
• Test and evaluate algorithms using theoretical and experimental analysis.
• Travel up to 15% domestically and internationally for deployment and data collection.

Skills

Python

R

Machine learning

Bayesian methods

Frequentist statistics

Data analysis

Statistics for detection

Education

Physics or physical chemistry degree

Job description

Primary Responsibilities:

• 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.

Position Requirements:

• 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

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.

Job Family Research Development (RD) Job Profile Software Engineering 2 Worker Type Regular Time Type Full time

The expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs.

Additionally, comprehensive benefits are part of the total rewards package.

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

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