Domino's Pizza is a leading public restaurant brand known for its innovative approach and commitment to technology. The Data Scientist on the Marketing Science team will drive efficiency in National Advertising by providing insights on media performance and marketing strategies, leveraging data science and analytics to influence decision-making in a rapidly evolving marketing landscape.
Development and refinement of data-driven stories, insights, and presentations tailored for marketing professional audiences, ensuring the delivery of impactful, strategic, and persuasive messages.
Create a regular flow of insights from the Media Mix Model and other media insights tools for business stakeholders
Create data driven guidelines to direct media testing plans, results interpretation, and media strategy
Create reports and visualizations to provide the business timely insights related to top level media optimizations
Conduct regular training sessions for the Marketing team on media measurement best practices
Develop analysis to enhance our understanding of market and marketing trends in the competitive landscape.
Strong mix of influencing partners, consulting, analysis, and creating institutional knowledge (ppts, training…)
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
Qualification
Required
Bachelor's degree in Statistics, Mathematics, Machine Learning, Computer Science, Marketing Science, or related field
1+ years of relevant professional experience
Knowledge of statistical techniques and concepts (regression, probability, properties of distributions, statistical tests, etc.) and experience with their application.
Knowledge of a variety of predictive modeling & machine learning techniques (time-series, classification, predictive, etc.) and their real-world application.
Strong analytical mindset with the ability to synthesize complex data and research findings into actionable insights and strategic recommendations.
Exceptional communication and presentation skills, with the ability to craft compelling narratives and convey complex concepts to both technical and non-technical audiences.
Applied experience with statistical computer languages (R, Python, etc.) and Proficient in SQL
Ability to manipulate data and draw insights from large, diverse data sets.
Preferred
Marketing Science Experience
Benefit
Paid Holidays and Vacation
Medical, Dental & Vision benefits that start on the first day of employment
No-cost mental health support for employees and dependents
Childcare tuition discounts
No-cost fitness, nutrition, and wellness programs
Fertility benefits
Adoption assistance
401k matching contributions
15% off the purchase price of stock
Company bonus
What’s behind one of the world’s top public restaurant brands? Fun and innovative franchise and corporate team members who are driven to win.
