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Data Science Major Jobs in Tennessee (NOW HIRING)

You will play a key role in ensuring that consumer insights and sensory data are integrated into ... for a major consumer health company, influencing products that impact millions of consumers. We ...

New

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Bachelor's degree in computer science or related field. * Experience with orchestration tools (e.g ... major markets around the globe. With over 4,000 employees across 57 locations operating in 26 ...

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Bachelor's degree in computer science or related field. * Experience with orchestration tools (e.g ... major markets around the globe. With over 4,000 employees across 57 locations operating in 26 ...

This role sits within the Consumer Science function, supporting innovation and product development ... You will play a key role in ensuring that consumer insights and sensory data are integrated into ...

New

We are seeking an IC5 Product Manager to own a major strategic product area within CHS software ... You will partner closely with engineering, operations, technical program management, data science ...

... Business Scientists. We empower our clients to turn overwhelming industry data into discovery ... major automotive manufacturer. This role supports the delivery of client services and use of ...

... Business Scientists. We empower our clients to turn overwhelming industry data into discovery ... major automotive manufacturer. This role supports the delivery of client services and use of ...

... Business Scientists. We empower our clients to turn overwhelming industry data into discovery ... major automotive manufacturer. This role supports the delivery of client services and use of ...

Showing results 41-60

Data Science Major information

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

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

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What jobs can I do with a data science major?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, or data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on interpreting large datasets to support decision-making.

What kind of jobs can I get with a data science major?

A data science major can lead to roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What are popular job titles related to Data Science Major jobs in Tennessee?

For Data Science Major jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Data Science Major jobs in Tennessee look for?

The top searched job categories for Data Science Major jobs in Tennessee are:

What cities in Tennessee are hiring for Data Science Major jobs?

Cities in Tennessee with the most Data Science Major job openings:

Infographic showing various Data Science Major job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Biometrics AI/ML Engineer

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 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

14th of 120 rated laboratories


Job description

Requisition Id 16775
Overview:
Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. The Human Analysis and Biometrics (HAB) group at Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of human and group recognition technologies to address national security and other worldwide challenges.
We are seeking a technical contributor in AI/ML research to build models and pipelines, design and implement evaluations and benchmarks, and disseminate results through publications and briefings. You will partner with multidisciplinary researchers across ORNL and external collaborators to enable data-driven decision-making in a variety of contextsThis position resides in the Human Analysis and Biometrics Group in the Advanced Intelligent Systems Section, Cyber Resillience and Intelligence Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL).
Major Duties/Responsibilities:
  • Contributes to requirements definition, design, and development of software applications in supporting the needs of projects as directed by the Principal Investigator and/or software team lead.
  • Develop AI/ML models and systems for diverse data and mission contexts
  • Conduct independent and collaborative research in AI/ML, with a focus on multimodal learning, computer vision, and scientific machine learning
  • Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and predictive modeling
  • Design and implement reproducible pipelines for data acquisition, feature engineering, model training, evaluation, packaging, and deployment
  • Help the group envision, design, develop, test, and deploy human analysis and biometric recognition tools and prototypes.
  • Conduct rigorous statistical analysis to aid in data exploration and interpretation
  • Benchmark and T&E AI/ML systems against performance metrics and robustness; define and implement measures of success for deployment-ready systems
  • Disseminate results via technical reports, publications, presentations, and sponsor briefings
  • Visualize and explain complex data and model results to technical and non-technical audiences
  • Contribute to research proposals and statements of work
  • Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success

Basic Qualifications:
  • A BS degree in computer science, computational science, data science, artificial intelligence, or related field.
  • Experience with agile software development methodologies such as SCRUM.
  • Strong foundation in machine learning, deep learning, or computer vision
  • Strong Python development skills and familiarity with git, CLI tooling, VS Code
  • Proficiency with PyTorch and/or TensorFlow, along with other Python ML development packages; experience building, training, evaluating ML/DL models
  • Experience implementing reproducible data/model pipelines and documenting assumptions, parameters, metrics, and results

Preferred Qualifications:
  • Experience with predictive modeling and generative AI/LLMs, including RAG systems
  • Familiarity with LLM inference servers (e.g., vLLM, Ollama)
  • Familiarity with high-performance computing (HPC) and distributed training environments
  • Hands-on benchmarking/Test & Evaluation of AI systems
  • Interest in AI applications for safety, risk modeling, or scientific workflows
  • Excellent written and oral communication skills
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Special Requirements:
  • Q clearance: This position requires the ability to obtain and maintain a 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.

About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.
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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