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Remote Data Scientist Jobs in Oak Ridge, TN (NOW HIRING)

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

Remote U.S. Based Locations) *SALARY RANGE: $35.19 - $48.95/per hour IMPORTANT NOTE: Please review ... Demonstrated research experience in computational biology, data science, bioinformatics, biomedical ...

New

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

Remote U.S. Based Locations) *SALARY RANGE: $35.19 - $48.95/per hour IMPORTANT NOTE: Please review ... Demonstrated research experience in computational biology, data science, bioinformatics, biomedical ...

New

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

Remote U.S. Based Locations) *SALARY RANGE: $35.19 - $48.95/per hour IMPORTANT NOTE: Please review ... Demonstrated research experience in computational biology, data science, bioinformatics, biomedical ...

New

Senior I&C Engineer Energy - Remote

Oak Ridge, TN · On-site +1

$99K - $137K/yr

... data sheets, I/O list, etc., together with the supporting analysis/assessment documents and other ... About you * BS or MS degree in Chemical, Electrical, or Mechanical Engineering, or other science ...

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Remote Data Scientist information

See Oak Ridge, TN salary details

$35.9K

$117.3K

$187.9K

How much do remote data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote data scientist in Oak Ridge, TN is $117,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

Can a data scientist work remotely?

Yes, many data scientists work remotely, especially as the role often involves analyzing data, programming, and using tools like Python, R, and cloud platforms that can be accessed from anywhere. Remote work options depend on the employer's policies and the specific job requirements, but it is increasingly common in the data science field.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

How can I make 2000 a week working from home?

A remote data scientist can earn $2,000 or more per week by working on high-demand projects, consulting, or freelance assignments that pay premium rates. Building a strong portfolio, developing skills in machine learning and data analysis tools, and establishing a reliable client base are essential for achieving this income level remotely.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

How can I make $100,000 a year working from home?

A remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R, along with relevant certifications. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive salaries are key strategies to reach this income level.
What are the most commonly searched types of Data Scientist jobs in Oak Ridge, TN? The most popular types of Data Scientist jobs in Oak Ridge, TN are:
What are popular job titles related to Remote Data Scientist jobs in Oak Ridge, TN? For Remote Data Scientist jobs in Oak Ridge, TN, the most frequently searched job titles are:
What cities near Oak Ridge, TN are hiring for Remote Data Scientist jobs? Cities near Oak Ridge, TN with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Oak Ridge, TN as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,344 per year, or $56.4 per hour.
Nonproliferation Data Scientist

Nonproliferation Data Scientist

Oak Ridge National Laboratory

Oak Ridge, TN • On-site, Remote

Full-time

Posted 9 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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