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Energy Data Science Jobs in Tennessee (NOW HIRING)

Lineage Logistics Holding, LLC

$209K - $219K/yr

... how energy is used, and how food is processed and transported. We define, design, develop, and ... Partner with data engineering, data science, and enterprise architecture to align platform ...

Varsity Tutors

Middle School Science Tutor

Memphis, TN · Remote

$18 - $40/hr

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

Varsity Tutors

Middle School Science Tutor

Knoxville, TN · Remote

$18 - $40/hr

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

Varsity Tutors

Middle School Science Tutor

Nashville, TN · Remote

$18 - $40/hr

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

Varsity Tutors

Middle School Science Tutor

Kingsport, TN · Remote

$18 - $40/hr

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

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Energy Data Science information

What is the difference between Energy Data Science vs Energy Analyst?

AspectEnergy Data ScientistEnergy Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Energy, Economics, or related field; strong analytical skills
Work EnvironmentData-driven projects, modeling, and algorithm development in tech or energy companiesData analysis, reporting, and market assessment in energy firms or utilities
Employer & Industry UsageTech companies, energy firms focusing on data modeling and predictive analyticsUtilities, energy consulting, and market analysis firms

Energy Data Scientists focus on developing models and algorithms to analyze energy data, while Energy Analysts interpret data to inform business decisions. Both roles require analytical skills, but Data Scientists emphasize programming and modeling, whereas Analysts focus on reporting and market insights.

What are popular job titles related to Energy Data Science jobs in Tennessee? For Energy Data Science jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Energy Data Science jobs in Tennessee look for? The top searched job categories for Energy Data Science jobs in Tennessee are:
What cities in Tennessee are hiring for Energy Data Science jobs? Cities in Tennessee with the most Energy Data Science job openings:
Energy Data Science jobs near you
Infographic showing various Energy Data Science job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Nonproliferation Data Scientist

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Re-posted 17 days ago

Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 120 rated laboratories

Job description

Requisition Id 16639
Overview:
We are seeking a Nonproliferation Data Scientist to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences Directorate. In this role, you will develop and apply advanced data science, machine learning, and statistical approaches to challenging problems in nuclear nonproliferation and national security.
The successful candidate will work closely with multidisciplinary teams of data scientists, software engineers, physicists, and domain experts to develop innovative analytic capabilities that support nuclear material detection, characterization, safeguards, and nuclear fuel cycle analysis. This position provides the opportunity to conduct impactful research while contributing to the development of next-generation scientific software and data-driven methods for national security applications.
Major Duties and Responsibilities
  • Conduct research and development applying machine learning, statistical modeling, optimization, and data science methods to nuclear nonproliferation challenges.
  • Develop, evaluate, and apply data-driven algorithms, selecting appropriate analytical approaches based on problem characteristics, available data, and mission objectives.
  • Develop and maintain scientific software and analytic tools that enable advanced data analysis, modeling, and decision support.
  • Collaborate with multidisciplinary teams of domain scientists, software developers, and researchers to integrate advanced analytics into mission applications.
  • Design and execute computational studies to assess algorithm performance, quantify uncertainty, and generate actionable insights from complex datasets.
  • Communicate research findings through technical reports, publications, presentations, and interactions with sponsors and collaborators.
  • Contribute to proposal development, program growth activities, and new research initiatives.
  • Ensure all work is performed safely, securely, and in accordance with ORNL policies and procedures.

All team members deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. We foster a respectful, team-focused environment where all individuals can contribute and succeed.
Basic Qualifications
  • PhD in data science, computer science, statistics, mathematics, physics, engineering, or a related quantitative field; or an MS in one of these disciplines with a minimum of two years of relevant experience.
  • Demonstrated experience applying machine learning, statistical analysis, optimization, or related data science techniques to solve complex technical problems.
  • Experience developing software for scientific computing, data analysis, or machine learning applications.
  • Proficiency in Python and common scientific computing and machine learning libraries.
  • Strong written and verbal communication skills, including experience presenting technical results to scientific or technical audiences.

Preferred Qualifications
  • Experience with machine learning, artificial intelligence, statistical modeling, uncertainty quantification, optimization, or scientific machine learning methods.
  • Demonstrated ability to evaluate alternative analytical approaches and determine when different algorithms or modeling techniques are most appropriate for a given problem.
  • Experience with research software development practices, including version control, testing, reproducibility, and collaborative software engineering.
  • Experience with open-source scientific software projects.
  • Familiarity with high-performance computing, cloud computing, or large-scale data analytics environments.
  • Knowledge of nuclear nonproliferation, safeguards, nuclear fuel cycle analysis, remote sensing, or related national security mission areas.
  • Record of peer-reviewed publications, conference presentations, or other research accomplishments.
  • Experience working in multidisciplinary research environments involving both domain scientists and software developers.
  • Familiarity with modern AI/ML frameworks such as PyTorch, TensorFlow, JAX, or related tools.

Special Requirements:
  • This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

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 ORNLRecruiting@ornl.gov.
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.

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