Field-Ready Data Scientist: ML for Sensing Systems

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

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.