Data Scientist

Tombras•Knoxville, TN

13d•Hybrid

About The Position

This role involves leading client engagements for advanced analytics, including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, and Forecasting. The position also supports testing, experimentation, and optimization. The responsibilities are end-to-end, covering the sale of new work through to the delivery of results. The role includes developing frameworks and approaches for marketing science, creating bespoke offerings, and employing best-in-class tooling to develop proprietary Martech in partnership with Technology and Media practices. A key aspect is identifying new and innovative data sets to enhance existing modeling or create new models, and clearly articulating statistical results to clients to ensure continued engagement and implementation.

Requirements

M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research
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.

Nice To Haves

Experience in marketing science or advertising analytics

Responsibilities

Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization.
Manage end-to-end client engagements, from selling in new work through delivery of results.
Develop the framework and approach for marketing science and create bespoke offerings.
Employ best-in-class tooling to develop proprietary Martech in partnership with the Technology and Media practices.
Identify new and innovative data sets to improve existing modeling work or deliver net new models.
Clearly articulate statistical results to clients, leading to continued client engagement and implementation.