Sr. Data Scientist

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

Location: Domino’s World Resource Center; 30 Frank Lloyd Wright Dr, Ann Arbor, MI 48105

Hybrid work environment: Mon-Thurs in office with Friday being work from anywhere

The Domino’s Pizza Analytics & Insights (A&I) team in Ann Arbor, MI is seeking a Senior Data Scientist that has proven background in blending large data, advanced knowledge in test statistics and test design, and experience building strong partnerships that result in actionable outcomes

The Senior Data Scientist on the AB testing is not only well versed in analytics, but well versed in the inner workings of the brand/business. Moreover, they are just as invested in the people that make our digital experience come to life as the data that they’re analyzing. The senior data scientist on the digital experience team should feel a sense of ownership in our website and apps, ingrained in all facets of Ecomm and people that impact it. 

RESPONSIBILITIES AND DUTIES

Digital Experience A|B and Multi-Variate Testing

• Create a vision of new KPIs, cuts, and ways to automate our tools for stronger impact, including integrating new tools as they become available (LTV, etc)
• Leverage GenAI on top of our extensive knowledge database to make relevant prompts immediately accessible
• Provide optimal, statistical test designs for measuring and reporting the effectiveness of various tests.
• Provide data driven feedback on test elements such as creative, offers, and audience optimization.
• Analyze results with the goal of proving (or disproving) each test experience as the root cause of change to key metrics.
• Present your findings and recommendations in a succinct and persuasive manner to business partners and senior leadership.
• Shape and guide strategic business objectives with disciplined analytic approach.

Data-Driven Partnerships

• Collaborate with Digital Experience partners to prioritize and identify initiatives that will help address business concerns.
• Proactively monitor and report on key ecommerce health metrics to IT, Innovation, and Marketing partners.
• Develop strong partnerships with internal departments, such as the Ecommerce IT and Digital Experience teams, providing strategic direction that supports long-term goals and needs for the organization.
• Identify, develop, and present recommendations for further growth within the business.

Digital Analytics Expertise

• Guide, and mentor junior and mid-level Data Scientists to create a best-in-class Data Science organization. 
• Push forward model base solutions on the ecommerce experience by partnering with our Personalization data science team.
• Regularly present background and findings to Marketing Leadership Team on digital experience topics.
• Collaborate with the Primary Research A&I team, connecting their ecommerce insights with empirical data.
• Provide insight to A&I, Marketing, Innovation, teams with custom views into customer behavior on ordering platforms.
• Partner with and manage external vendors when needed to address key business issues.

Qualifications

• Bachelor’s Degree in Data Science, Statistics, Mathematics, Marketing Science, or related field
• 4+ years   of professional related work experience
• Demonstrated ability to proactively bring forth new ideas, influence, and make impact with their ideas
• Advanced knowledge of a web-analytics tools like Adobe Analytics or similar products
• Expert in SQL querying, with ability to clean, transform, and process data
• Proficient in R or Python, with emphasis on statistical analysis.
• Applied experience with statistical testing, with firm understanding of test design
• Expert in Microsoft Office – Fluent in Power Point, Excel, and PowerBI or similar products
• Excellent project management, communication, presentation and collaboration skills
• Proven to work effectively and compassionately

Additional Information

All your information will be kept confidential according to EEO guidelines.