1

Data Science Associate Jobs in Tennessee (NOW HIRING)

Associate Director, Data Science

Knoxville, TN ยท On-site

$56K - $56K/yr

Tombras, a 450+ person, full-service, national advertising agency with a digital mindset, is seeking an Associate Director, Data Science. You'll be joining one of the top independent agencies in ...

next page

Showing results 1-20

Data Science Associate information

See Tennessee salary details

$52.2K

$61.8K

$117.1K

How much do data science associate jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data science associate in Tennessee is $61,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $54,000.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Tennessee? The most popular types of Data Science jobs in Tennessee are:
What are popular job titles related to Data Science Associate jobs in Tennessee? For Data Science Associate jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Data Science Associate jobs? Cities in Tennessee with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Tennessee as of May 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $61,753 per year, or $29.7 per hour.
Associate Director, Data Science

Associate Director, Data Science

Tombras

Knoxville, TN โ€ข On-site

$56K - $56K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

Tombras, a 450+ person, full-service, national advertising agency with a digital mindset, is seeking an Associate Director, Data Science.
You'll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Resultsยฎ is working for our clients and creating a flywheel affect fueling both client and agency growth. You'll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.
Why Join Tombras Analytics?
Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.
This role is foundational to leading our Data Science Team, which partners with our Analytics, Media, and Data-Ops Teams to realize the vision of offering best in class marketing science for our clients. You'll lead the strategy and development of proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.
The Associate Director, Data Science will report directly to the Director, Data Science and should have prior experience in media analytics, especially digital media. The ideal candidate will have 2+ years of experience in media, marketing or a related field and possess 5+ years of experience in Analytics and Data Science roles.
Where you'll be working: Knoxville. Relocation assistance may be provided.
What you'll be doing:
  • Leading the strategy behind and client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the results.
  • Developing the framework and approach for marketing science and develop bespoke offerings.
  • Employing best in class tooling to develop proprietary Martech in partnership with the Technology and Media practices.
  • Identify new and innovative data sets that can be used to improve existing modeling work, or deliver net new models.
  • Clearly articulate statistical results to clients, ultimately leading to continued client engagement and implementation.

What you bring:
  • An M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research
  • (Optional) Experience in marketing science or advertising analytics
  • Mastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice Models
  • Strong competency with python, R, SQL, and other commonly used statistical tools
  • Client services mindset
  • Ability to influence clients and partner agencies to act on insights
  • Ability to distill complicated information into succinct graphical presentations for senior stakeholders.

Why you'll want to work at Tombras:
  • Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.
  • Dog-friendly offices
  • Flexible PTO
  • Generous parental leave for primary and non-primary caregivers
  • Medical (PPO or High Deductible option) for employee + dependents
  • 401(k) Participation
  • Employer-paid Dental & Vision
  • A company culture of promotions from within and an atmosphere allowing for varied and rapid career development.

Want more reasons to work at Tombras? Check out the latest Tombras News and Our Values.
Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.
Tombras is an E-Verify employer and participates in the E-Verify program.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.
Remote employees must be based in the United States.