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.

Main responsibilities

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 engagement into innovation and then into competitive business advantages for Domino’s.

• With how intertwined Personalization and AI are, track industry developments and innovation, and adopt value-adding AI developments into our own workflows and data products to push the business forward.

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master’s and PhD’s degree preferred. 
• Multiple years of data experience in Owned Media space is necessary. Familiarity with Email Service Providers (i.e. SFMC), as well as Customer Data Platforms are preferred.
• Strong statistical inference skills and AB test experience.
• Strong end-to-end technical skillset, including but not limited to exploratory data analysis, feature engineering, algorithm selection and tuning, deployment and productionalization. Proficient Python and SQL skills are expected.
• Proven ability to enable cross-functional teams and facilitate collaborative projects with strategic importance. 
• Ability to quickly switch gears, juggle multiple workstreams, and stay organized to prioritize effectively.
• Outstanding written and verbal communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.  Strong executive presence and ability to articulate complex ideas in easily understandable terms to diverse audiences.

Location: Must reside in the Ann Arbor area or be willing to relocate 

Benefits:
•    Paid Holidays and Vacation   
•    Medical, Dental & Vision benefits that start on the first day of employment
•    No-cost mental health support for employee 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.