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!

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.

The Innovation Data Science team works to create best-in-class technology-driven customer and team member experiences in & around stores and during delivery by continuously testing new concepts, platforms, and technologies. As a data scientist on this team, you will work cross-functionally with the digital innovation, technology, and operations innovation teams to identify opportunities for innovative tech solutions and generate insights that inform our national marketing campaigns. Leveraging your knowledge of statistics and machine learning, combined with creative analytical thinking and the ability to identify actionable business recommendations will enable us to continue to build Domino’s techquity. You will be solving difficult, non-routine problems and developing the machine learning and artificial intelligence components of Domino’s next-generation smart applications.

For this role, we are seeking a creative problem solver with strong analytic and programming skills. The candidate should be skilled in using multiple data sources, SQL, Python, and machine learning algorithms. The ideal candidate will need to collaborate on advanced machine learning model design and testing and have strong communication skills to present model results and impacts for our partners. This role will also require partnering with IT specialists on data/model staging, integrating with existing platforms, and improving technical and operational algorithm/data uses. Candidate will design and build simulation experiments to model and optimize business and operations processes.

RESPONSIBILITIES AND DUTIES

• Research, develop, and implement advanced machine learning solutions and statistical analysis techniques to solve complex business problems, provide meaningful recommendations and actionable strategies to internal stakeholders
• Develop data collection strategies and analysis plans, specifying requirements
• Extract, scrub, organize data to build datasets for analysis
• Identify and apply appropriate analytical methods to glean insights from the data
• Translate results into business recommendations or interpretations
• Present analysis to decisionmakers and make business recommendations based on your analysis with effective presentations of findings through visual displays of quantitative information
• Consult on new product deployments and incremental improvements
• Interact cross-functionally throughout entire research process, from gathering requirements to sharing insights
• Build and test simulation models in AnyLogic, retrieve and analyze experiment results, prepare data sets for use in simulation
• Provide support to Machine Learning developers including data preparation, experimentation, and general workflow
• Use visualization, reporting and other tools to improve the ways in which our team accesses and interprets datasets
• Research latest technologies, build and present Proof of Concepts to senior leadership

• Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, or related field
• 1 years of experience in a quantitative or technical work environment
• Strong experience solving business problems with data science, emphasis on business outcomes
• Proficient in SQL
• Proficient in R or Python
• Knowledge of a variety of predictive modeling, machine learning and generative AI techniques (classification, predictive, artificial neural networks, image recognition, LLMs, etc.) and their real-world application
• Knowledge of advanced statistical techniques and concepts (regression, probability, properties of distributions, statistical tests, etc.) and experience with applications
• Ability to self-start and self-direct work in a dynamic, cross-functional environment
• Excellent communication skills with the ability to engage, influence, and encourage partners and team members to drive collaboration and alignment
• Experience creating engaging and compelling stories and presentations from data and effectively communicating analysis results with a diverse non-technical audience

All your information will be kept confidential according to EEO guidelines

This role is based in Ann Arbor, MI

Hybrid: Tue-Thursday in office. Monday and Friday