Physical Data Scientist – Statistical Analysis of Experimental Data

Argonne National Laboratory; Lemont (IL); On-site; USD 94,000 - 147,000; Full time

Job summary

Argonne National Laboratory in Lemont, IL seeks a Data Scientist to join the Field Intelligence Element (FIE). You will develop ML and statistical methods for processing experimental data and work with software engineers to deploy prototypes.

A graduate degree in physics or physical chemistry and experience with limited-data ML are required. You will travel up to 15% domestically and internationally to deploy, test, and collect data on sensor systems, and you must obtain/maintain a security

Qualifications

• Graduate degree in physics or physical chemistry with advanced statistical methods for data analysis
• Familiarity with machine learning techniques for problems with limited training data
• Proficiency in Python and R programming languages
• Experience applying statistical concepts to detection/classification problems
• Background in nuclear physics and gamma spectroscopy
• Knowledge of Bayesian and frequentist statistical concepts

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 transition of algorithms from research to prototype deployment
• Assist in long-term planning of project direction and scope
• 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

Skills

Python

R

Machine Learning

Statistics

Education

Graduate degree in physics or physical chemistry

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:

• 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 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.

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.

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