Job description

We are seeking a talented Data Scientist to join the Field Intelligence Element (FIE). The FIE enables Argonne National Laboratory to provide products and services to DOE’s Office of Intelligence and Counterintelligence (DOE-IN), the Intelligence Community (IC), and non-IC federal agencies. 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, physical chemistry, or similar field 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 state.gov 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. 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. Click here to view Argonne employee benefits! 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. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Requirements

Must-haves

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, physical chemistry, or similar field 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
Research Development (RD)
Software Engineering 2
The expected hiring range for this position is $94,486.00 - $147,398.94.
Click here to view Argonne employee benefits!

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpython

Platform: workday
Effort: long