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Data Scientist - Senior R&D Staff

Date: Jun 12, 2022

Location: Oak Ridge, TN, US, 37831

Company: Oak Ridge National Laboratory

Requisition Id 4713 



We are seeking a Senior Data Scientist to perform research and development that will yield novel and advanced detector systems, instrumentation, measurement techniques, and algorithms in support of applications from a broad user base. This role resides in the Advanced Radiation Detection, Imaging, Data Science, and Applications (ARDIDSA) group, Nuclear Structure & Astroparticle Physics Section, Physics Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL).


ARDIDSA focuses on the development and evaluation of novel and advanced radiation detector and non-destructive evaluation concepts for basic science, nonproliferation, national security, and intelligence organizations. The ARDIDSA group performs the research and technology development to evolve these advanced concepts from conception to demonstration or deployment with particular emphasis on sensitivity and specificity in actual field operations, including use of radiation transport codes to model these systems and analysis codes to isolate signals of interest.


Major Duties / Responsibilities

In this role, you will work with research staff within ARDIDSA and throughout ORNL to develop and apply modern data science/machine learning techniques to a wide variety of subjects including nuclear material detection, nuclide identification, and radioactive materials localization capabilities to support nuclear security missions. The research involves development and testing of novel data analytics processes and specialized algorithms to improve measurement efficiency and reduce uncertainties.  You will also serve as a mentor to junior staff and as technical lead on projects, working with customers to meet deliverables and address technology or system issues. Results will be documented by publication in high impact papers, journals, conference papers and technical reports. The work will involve collaboration in a team environment to develop and present research proposals to generate new funding.


Basic Qualifications


  • PhD in physics, nuclear engineering, mathematics, statistics, or a related field with at least 6 years of experience 
  • Demonstrated capabilities and experience in data science or data analytics


Preferred Qualifications

  • Ability to obtain and maintain a clearance from the Department of Energy
  • Basic understanding of the detection of radioactive materials through measurement of ionizing radiation
  • Experience with code development and/or familiarity with various computer languages including C, C++, Python, Julia and/or R
  • Familiarity with TensorFlow, OpenCV and other machine learning libraries
  • Demonstrated understanding of applying modern data science/machine learning techniques to real data (not synthetic data) to gain insights and understanding of trends
  • Demonstrated understanding of techniques such as analyzing time series data for anomaly detection and classification
  • Experience in data fusion and data correlations using orthogonal sensor streams
  • Experience adapting and optimizing data science and machine learning techniques for edge computation
  • Commitment to stay current with new data analytics/machine trends
  • Excellent human relation and oral and written communication skills and a demonstrated ability to work in a team-oriented environment with a broad range of domestic or international collaborators 
  • Ability to work independently, with minimal supervision, and to work effectively as a member of an agile development team


Special Requirements:

Three letters of reference are required and can be uploaded to your profile or emailed directly to  Please include the title of the position in the subject line.




This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.

Nearest Major Market: Knoxville