Noyle Christopher
SVP, Data Science, Marilyn Team
The Mars Agency
Chris is an accomplished global Martech Leader. Experienced in leading, training, and building high-performance technology teams to support his client’s growth initiatives. Equipping his team with the tools and skills needed to deliver high-quality technology solutions.
Chris also brings an exemplary ability to simplify complex business problems and present the results and recommendations to audiences of various technical levels. He is well known for introducing cutting edge data science techniques and strategies to aid the digital transformation of his client’s business.
Throughout his 20-year career, Chris has developed and implemented data science solutions and strategies that supported growth initiatives for notable clients including Walmart, SAMS, Rent-A-Center, Ann Taylor, Domino’s Pizza, Papa Johns, Panera Bread, Verizon, Aetna, Humana, Globe Life, Aruba Tourism Authority, Mercedes Benz, BMW/Mini, Jaguar, Mitsubishi, Land Rover, MetroPCS, Oklahoma Oil & Gas, Lazy Boy, and Purina Brands to name a few.
Most recently, Chris lead data science and data engineering for Walmart’s Real Estate & Manufacturing Technology. Chris holds a master’s degree in Applied Economics and a bachelor’s degree in Economics.
Chris also brings an exemplary ability to simplify complex business problems and present the results and recommendations to audiences of various technical levels. He is well known for introducing cutting edge data science techniques and strategies to aid the digital transformation of his client’s business.
Throughout his 20-year career, Chris has developed and implemented data science solutions and strategies that supported growth initiatives for notable clients including Walmart, SAMS, Rent-A-Center, Ann Taylor, Domino’s Pizza, Papa Johns, Panera Bread, Verizon, Aetna, Humana, Globe Life, Aruba Tourism Authority, Mercedes Benz, BMW/Mini, Jaguar, Mitsubishi, Land Rover, MetroPCS, Oklahoma Oil & Gas, Lazy Boy, and Purina Brands to name a few.
Most recently, Chris lead data science and data engineering for Walmart’s Real Estate & Manufacturing Technology. Chris holds a master’s degree in Applied Economics and a bachelor’s degree in Economics.
