Data Scientist - Marketing Science

Company Description

Domino’s Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we’re a reshaped, reenergized brand of honesty, transparency and accountability – not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream’ to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That’s just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you’d like to be a part of, consider joining our team!

Job Description

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 remote

Compensation: 95k-105k based off experience

RESPONSIBILITIES AND DUTIES

Media 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) data
• Unit testing, ad hoc validation, and automation of media, economic, pricing, and competitive datasets
• Set up media tracking and visualization solutions for data quality maintenance
• Develop media effect simulations which produce enhanced, “Ground Truth” datasets
• Develop external benchmarking datasets to enhance our understanding of market trends and opportunities
• Feature engineering for probabilistic time-series media mix model

Marketing Science Data and Metanalysis (50%)

• Develop metanalysis on Lift testing results to explain the levers for true optimization in Media KPIs
• Consolidate national marketing KPI data streams into a central marketing insights tool
• Set up automated marketing vendor data ingestion leveraging tools including APIs, SFTP, and other ingestion methods
• Regularly consult with multiple marketing vendors, to drive best-in-class digital marketing measurement guidelines
• Develop a deep expertise in various controlled trial methodologies and Lift testing results
• Identify statistical errors and anomalies in controlled trial results
• Conduct ad-hoc data pulls and customer segmentation to provide key insights

Qualifications

• Bachelor's degree in Statistics, Data Science, Mathematics, Machine Learning, Computer Science, or related field
• 2+ years of relevant professional experience or a Master’s in one of the fields listed above
• Knowledge of advanced statistical techniques and concepts (Bayesian regression, probability, properties of distributions, statistical tests, etc.) and experience with applications
• Knowledge of a variety of predictive modeling & machine learning techniques (hierarchical time-series, classification, predictive, etc.) and their real-world application
• Strong experience solving business problems with data science, emphasis on business outcomes
• Applied experience with statistical computer languages (R, Python, STAN, etc.)
• Proficient in SQL
• Proficient in data visualization (PowerBI, Tableau, etc.)
• Ability to manipulate data and draw insights from large, diverse data sets
• Experience creating engaging and compelling stories and presentations from data
• Proficient in Microsoft Office - Fluent in Power Point and Proficient in Excel

Additional Information

The following are a plus but not required:

• Marketing Science Experience
• Statistical Controlled Trial design and interpretation
• Proficient in Data Bricks and Microsoft Azure

Benefits:

• 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  

All your information will be kept confidential according to EEO guidelines