Job Description
The Analytics & Insights team has been a key contributor to driving Domino’s industry-leading growth. They pair 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 by robust visibility and granular insights on Domino’s media performance and buy. 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 data, visualization, statistics, and collaboration you will identify and communicate areas of efficient growth throughout the marketing ecosystem. Embrace the rapidly evolving marketing landscape and be a champion for data disciplined decision-making. This role will work closely with an evolving landscape of Media Metrics, state-of-the-art Media Mix Models, Media AB Testing Meta-Analysis, and Geographic Testing. To be successful as a Data Scientist on the Marketing Data Science team you should have a demonstrated background of strong communication/collaboration, consulting into actionable outcomes, blending large datasets, mathematical prowess, creativity, and ideally a background in Media Measurement.
** RESPONSIBILITIES AND DUTIES**
Marketing Science Consultant (50%)
Marketing Science Partner Metrics Analysis (50%)
Create high-level insights into media performance by leveraging testing results and media KPIs. Present results.
Regularly consult with multiple marketing vendors, to drive best-in-class digital marketing measurement guidelines
Conduct ad-hoc data pulls and customer segmentation to provide key insights.
Work with external marketing vendors and internal marketing team members to construct and maintain processes to ingest, verify, and leverage media, economic, pricing, and competitive data datasets
Develop explanatory models of the effects that various marketing attributes have on sales performance
Recommend and perform custom statistical testing on high-impact media channels such as TV
Develop and guide meta-analysis on Lift testing results to explain the levers for true optimization in Media KPIs
Location; Ann Arbor, MI
Shift: Standard 40 hours a week. Hybrid Schedule: Monday and Friday - Remote, Tuesday-Thursday- In-office
Compensation: 95k-105k Based on experience
Qualifications
** The following are a plus but not required:** **** Marketing Science Experience
Additional Information
** Benefits:**
Physical Requirements
Work is performed in an office environment and requires the ability to sit for long periods of time while working on a computer.
All your information will be kept confidential according to EEO guidelines.