Field Data Scientist: ML for Experimental Data

Argonne National Laboratory

Lemont (IL)

On-site

USD 94,000 - 147,000

Full time

14 days+
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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

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

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