Senior Machine Learning Scientist– Personalization & Owned Media

Domino's

Ann Arbor (MI)

On-site

USD 140,000 - 190,000

Full time

5 days ago

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Benefits offered by this job

Paid Holidays and Vacation

Medical, Dental & Vision benefits

No-cost mental health support

Childcare tuition discounts

No-cost fitness, nutrition, and well‑B

Fertility benefits

Adoption assistance

401k matching contributions

Stock purchase program

Company bonus

Job summary

Domino’s is seeking a Senior ML Scientist for the Activation and Personalization Data Science team in Ann Arbor, MI. You will build and deploy AI/ML models to power email/push/SMS personalization, drive engagement, and optimize owned media.

The role requires strong modeling skills, collaboration across marketing and tech teams, and a strategic impact mindset. Focus areas include experimentation, testing, and performance measurement, with opportunities to advance data products and reside in a

Qualifications

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
Master’s and PhD preferred.
Familiarity with Email Service Providers (SFMC) and Customer Data Platforms is preferred.
Strong statistical inference skills and AB test experience.
Proficient Python and SQL skills are expected.

Responsibilities

Develop and deploy AI/ML models, data products, and analytics for customer engagement.
Own the day-to-day execution and optimization of the Owned Media program.
Collaborate with Marketing, Data Platform teams, and external vendors for test-and-learn initiatives.
Lead the team to govern and wrangle Owned Media data.
Evolve measurement frameworks to include opened/clicked rates and unsubscribe metrics.

Skills

Python

SQL

AB testing

Statistical inference

Cross-functional collaboration

Communication

Education

Bachelor's degree in CS/Engineering/Math

Master’s or PhD preferred

Tools

SFMC

Customer Data Platforms

Job 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!

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