Job Description

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.

Qualifications

• 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.

Additional Information

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