Data Scientist I: AI/ML for Scientific Systems

Thomas Jefferson National Accelerator Facility (Jefferson Lab); Newport News (VA); On-site; USD 80,000 - 142,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) Plan

Flexible Work Arrangements

Remote & Alternate Schedules

Tuition Assistance

Professional Development

Job summary

Thomas Jefferson National Accelerator Facility is seeking a data science professional to contribute to machine learning and AI initiatives. You will preprocess data, develop and optimize ML models, and collaborate with researchers from multiple disciplines.

Ideal candidates have strong Python skills, experience with ML libraries, and the ability to publish results and develop production-ready software for data science projects.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Applied Mathematics, Computer Engineering, or a closely related technical area.
• Ph.D. preferred for advanced research roles.

Responsibilities

• Work on data science workflow from preprocessing to ML model development.
• Develop AI/ML models for large complex systems like particle accelerators.
• Publish research results in peer-reviewed venues.
• Develop high quality software for data science projects.

Skills

Python

scikit-learn

PyTorch

TensorFlow

uncertainty quantification

continual learning

graph neural networks

LangChain

LangGraph

data analysis

ML workflows

Education

Bachelor's Degree in CS/Math/Engineering

Ph.D. preferred

Tools

scikit-learn

PyTorch

TensorFlow

Job description

Thomas Jefferson National Accelerator Facility is seeking a data science professional to contribute to machine learning and AI initiatives. You will preprocess data, develop and optimize ML models, and collaborate with researchers from multiple disciplines.

Ideal candidates have strong Python skills, experience with ML libraries, and the ability to publish results and develop production-ready software for data science projects.