Summary: The Analytics & Insights team has been a key contributor to driving Domino’s industry-leading growth by pairing strategic thought leadership with the latest analytic techniques in the fields of data science, machine learning, artificial intelligence, and primary research.  The A&I team leverages their skills to drive outstanding consumer and employee experiences to fuel future growth. This role as a Data Scientist on the Marketing Science team will be primarily responsible for driving efficiency in our National Advertising through robust visibility and granular insights on Domino’s media performance. This role will be positioned to influence the evolution of Domino’s marketing strategies by providing deeper insights into the drivers of Marketing Efficiency. Through statistics, data, visualization, and collaboration you will identify areas of efficient growth throughout the marketing ecosystem. Embrace the rapidly evolving marketing landscape and identify new, effective ways to measure the impact of emerging and non-traditional marketing platforms. This role will work closely with and contribute to the development of state-of-the-art Media Mix Models, Media AB Testing metanalysis, Geographic Testing, and Media Metrics.  To be successful as a Data Scientist on the Marketing Data Science team you should have a demonstrated background blending large datasets, strong communication/collaboration skills, mathematical prowess, creativity, data visualization, consulting toward actionable outcomes, and ideally a background in Media Measurement.Location: Ann Arbor, MI  World Resource Center Shift: Standard 40 hours a week. Hybrid- Tue-TH in office, MW remoteCompensation: 95k-105k based off experience  RESPONSIBILITIES AND DUTIESMedia Mix Modeling Data Engineering and Visualization (50%)Work with external marketing vendors and internal team members to construct and maintain processes to ingest media mix model (MMM) dataUnit testing, ad hoc validation, and automation of media, economic, pricing, and competitive datasetsSet up media tracking and visualization solutions for data quality maintenanceDevelop media effect simulations which produce enhanced, “Ground Truth” datasetsDevelop external benchmarking datasets to enhance our understanding of market trends and opportunitiesFeature engineering for probabilistic time-series media mix modelMarketing Science Data and Metanalysis (50%)Develop metanalysis on Lift testing results to explain the levers for true optimization in Media KPIsConsolidate national marketing KPI data streams into a central marketing insights toolSet up automated marketing vendor data ingestion leveraging tools including APIs, SFTP, and other ingestion methodsRegularly consult with multiple marketing vendors, to drive best-in-class digital marketing measurement guidelinesDevelop a deep expertise in various controlled trial methodologies and Lift testing resultsIdentify statistical errors and anomalies in controlled trial resultsConduct ad-hoc data pulls and customer segmentation to provide key insights
