
Physical Data Scientist – Statistical Analysis of Experimental Data
Lemont, ILFull-time$94–147K/yrSeen 2mo agoSeen in employer's feed 5 days ago
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Requirements
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Job overview
The Argonne National Laboratory seeks a talented Data Scientist for the Field Intelligence Element to develop and apply machine learning and statistical analysis methods, maintain and document existing techniques, collaborate with software engineers for prototype deployment, assist in project planning, and support field integration and testing of new algorithms, with up to 15% travel.
Skills & qualifications
Skills
Qualifications
Full job description
Lemont, IL USA
Full time
423270
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:
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Develop and apply new machine learning and statistical analysis methods for processing experimental data
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Maintain, enhance, and document existing statistical analysis methods used by the group
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Collaborate with software engineers to support the transition of algorithms from research to prototype-ready deployment
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Assist in long-term planning of project direction and scope as new opportunities arise.
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Assist software engineers with in-field integration, testing, and operational support of new algorithms
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Conduct testing and evaluation of new algorithms based on theoretical analysis and experimental evaluation
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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
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A graduate degree in physics, physical chemistry, or similar field and experience using advanced statistical methods for data analysis
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Possess familiarity with machine learning techniques applicable to problems with limited training data
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Ability to program in a variety of languages, including Python and R
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Familiarity with nuclear physics and gamma spectroscopy
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Familiarity with both Bayesian and frequentist statistical concepts and methods
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Experience applying statistical concepts to detection/classification problems
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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:
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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.
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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 (https://www.anl.gov/hr/healthcare-insurance) 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.
Interested in translating science into innovation? Build your career at Argonne.
At Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future.
To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers (http://www.anl.gov/careers) site.
To learn more about the exciting science going on at Argonne, visit our Science and Technology (http://www.anl.gov/argonnes-science-and-technology) page.
To request a reasonable accommodation or for other application support, contact us anytime at [email protected] or 630-252-2336.
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