Senior Machine Learning Scientist– Personalization & Owned Media

Senior Machine Learning Scientist– Personalization & Owned Media Full-time Job Category Org: Global Analytics and Insights Location Name - Location Code: Domino's Pizza LLC-WHQ 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 85% 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 Senior ML Scientist on the Activation and Personalization Data Science team will play a key role in maximizing business impact through Owned Media Activation channels (email/push/SMS) and broader personalization initiatives. Reporting to the Manager of Activation and Personalization Data Science, this role will be responsible for developing and deploying AI/ML models, data products, and analytical solutions that power customer engagement and marketing effectiveness in owned media channels. In addition to leading AI/ML model development, this individual will own the day-to-day execution and ongoing optimization of the Owned Media program, ensuring operational excellence across business-as-usual activities. The role requires close collaboration with marketing stakeholders, cross-functional partners, and external vendors to design, execute, and measure test-and-learn initiatives while ensuring seamless activation. This is a highly visible and hands-on technical position that combines data science, machine learning, experimentation, and business strategy. Success in this role requires strong analytical and modeling expertise, a holistic ownership mindset, exceptional communication and storytelling skills, the ability to navigate a broad range of responsibilities across data, analytics, and activation, and deep domain knowledge of the Owned Media and personalization ecosystem.

Across All Domains: Leverage machine learning, AI, inference techniques, and modeling as needed to deliver deep analysis and insights and build key data artifacts/models to drive the business forward. Strong day-to-day collaboration with Partner teams, such as Marketing and Data platform teams, to identify and execute strategic bets to achieve corporate objectives. Drive Owned Media Activation Build and employ AI/ML models and data artifacts to activate personalization in our Owned Media channels to drive incremental orders and revenue. Ensure delivery of both day-to-day/BAU of the Owned Media space (collaborating on daily sends, incrementality measurement, continuous testing and optimizations, reporting and performance monitoring), as well as bigger channel-wide optimizations such as Send Time Optimization, Dynamic Content, Send Frequency modeling, and more. Ensure tight collaboration with Digital Owned Media agency to ensure proper execution, monitoring, and overall channel measurement. Lead team to govern, manage, and wrangle the sheer volume of Owned Media data. Evolve measurement frameworks to account and encompass various Owned Media secondary KPIs (open rates,click rates, etc), as well as a quantified downside to negative actions (email unsubscribe, push opt-outs, etc). With this evolved understanding of success, the strategic approach should evolve as well. Continuous Development and Looking to the Future Look to the future by also employing continuous learning and development to stay adaptable and relevant in a rapidly evolving Data Science and AI space. Translate proactive