Field Intelligence Data Scientist — ML for Sensor Data

Argonne National Laboratory; United States; On-site; USD 94,000 - 147,000; Full time

Job summary

Argonne National Laboratory seeks a Data Scientist to join the Field Intelligence Element (FIE) to develop and apply machine learning and advanced statistics for processing experimental data. You will collaborate with software engineers to document methods for reuse and support the transition of algorithms from research to prototype-ready deployment.

You will assist in planning project direction, contribute to field testing, and travel up to 15% domestically and internationally. U.S.

Qualifications

• Graduate degree in physics or physical chemistry with experience using advanced statistical methods for data analysis.
• Familiarity with machine learning techniques applicable to problems with limited training data.
• Proficiency in Python and R for data analysis and modeling.

Responsibilities

• Develop and apply new ML and statistical methods for processing experimental data.
• Maintain, enhance, and document existing statistical analysis methods used by the group.
• Collaborate with software engineers to deploy algorithms from research to prototype-ready deployment.
• Assist in long-term project direction and scope planning.

Skills

Python

R

Machine learning

Statistics

Bayesian methods

Frequentist methods

Data analysis

Communication

Education

Graduate degree in physics or physical chemistry

Job description

Argonne National Laboratory seeks a Data Scientist to join the Field Intelligence Element (FIE) to develop and apply machine learning and advanced statistics for processing experimental data. You will collaborate with software engineers to document methods for reuse and support the transition of algorithms from research to prototype-ready deployment.

You will assist in planning project direction, contribute to field testing, and travel up to 15% domestically and internationally. U.S.