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Tombras, a 600+ person, full-service, national advertising agency with a digital mindset, is seeking a Data Scientist.

You’ll be joining one of the top independent agencies in North America.Connecting Data & Creativity for Business Results® 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.

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 will be foundational to our Data Science Team, which will partner with our Analytics, Media, and Data-Ops Teams to realize the vision of offering best in class marketing science for our clients. You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.

Where you'll be working:

Knoxville, TN. Relocation assistance may be provided.

What you'll be doing:

• Lead 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
• A company culture of promotions from within and an atmosphere allowing for varied and rapid career development.

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.