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Open Source Intelligence Jobs in Tennessee (NOW HIRING)

BWXT

Cyber Security Engineer

Erwin, TN · On-site

Evaluate threat intelligence by reviewing advisories, exploit reports, and vendor notifications ... Familiarity with open-source and commercial tools used for detection, prevention and analysis of ...

BWX Technologies

Cyber Security Engineer

Erwin, TN · On-site

Evaluate threat intelligence by reviewing advisories, exploit reports, and vendor notifications ... Familiarity with open-source and commercial tools used for detection, prevention and analysis of ...

Pwc

CTIO AI Engineering Manager

Nashville, TN · On-site

$73K - $244K/yr

... Artificial Intelligence and Robotics preferred - Designing, training, and deploying machine ... open-source projects or AI/ML publication Travel Requirements Not Specified Job Posting End Date ...

Deloitte

Senior AI Engineer - SFL Scientific

Nashville, TN

$100K - $138K/yr

... open-source solutions, and constructing IT infrastructure for organizations across a wide variety ... Intelligence (AI). The team has a proven track record serving large, market-leading organizations ...

Oracle

Software Developer 5

Nashville, TN · On-site

... intelligence for both OCI's internal cloud services and customers running mission-critical ... Cloud scale products and services Mutli-tenant services Concurrent Programming Open source ...

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$46.3K

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How much do open source intelligence jobs pay per year?

As of Jul 16, 2026, the average yearly pay for open source intelligence in Tennessee is $89,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $111,600.00 per year, depending on experience, location, and employer.

What is an Open Source Intelligence job?

An Open Source Intelligence (OSINT) job involves collecting, analyzing, and interpreting publicly available data to support decision-making in cybersecurity, law enforcement, business, or government operations. OSINT analysts gather information from sources like social media, news articles, public records, and databases to identify threats, trends, or insights. These professionals use various tools and techniques to verify and contextualize data while adhering to ethical and legal guidelines. The role requires strong analytical skills, attention to detail, and knowledge of data privacy laws to ensure responsible use of information.

What are some typical challenges faced by professionals in Open Source Intelligence roles?

Professionals working in Open Source Intelligence (OSINT) commonly face challenges such as information overload, verifying the credibility of sources, and navigating rapidly evolving digital platforms. They must also stay current with legal and ethical considerations when collecting and analyzing publicly available data. Collaboration with cybersecurity, law enforcement, or intelligence teams is frequent to ensure findings are integrated effectively. Developing efficient research strategies and maintaining a critical mindset are key to overcoming these obstacles and delivering actionable intelligence in a timely manner.

What are the key skills and qualifications needed to thrive in the Open Source Intelligence position, and why are they important?

To thrive in Open Source Intelligence (OSINT), you need strong analytical skills, a deep understanding of internet research techniques, and familiarity with information verification, often supported by degrees in fields such as criminal justice, cybersecurity, or intelligence studies. Experience with specialized OSINT tools like Maltego, Recon-ng, and knowledge of data privacy legislation are highly valued, as are certifications such as GIAC Open Source Intelligence (GOSI). Attention to detail, ethical integrity, and effective communication are crucial soft skills for interpreting and reporting findings clearly. These skills are important because they ensure the accurate, lawful, and actionable gathering of data from open sources to support security, investigative, or decision-making objectives.

What are the most commonly searched types of Open Source Intelligence jobs in Tennessee? The most popular types of Open Source Intelligence jobs in Tennessee are:
What are popular job titles related to Open Source Intelligence jobs in Tennessee? For Open Source Intelligence jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Open Source Intelligence jobs in Tennessee look for? The top searched job categories for Open Source Intelligence jobs in Tennessee are:
What cities in Tennessee are hiring for Open Source Intelligence jobs? Cities in Tennessee with the most Open Source Intelligence job openings:
Open Source Intelligence jobs near you
Infographic showing various Open Source Intelligence job openings in Tennessee as of July 2026, with employment types broken down into 85% Full Time, 5% Part Time, and 10% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $89,507 per year, or $43 per hour.
Nonproliferation Data Scientist

Nonproliferation Data Scientist

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Posted 29 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

10th of 105 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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