Senior Machine Learning Scientist– Media Decision Science

The Senior Machine Learning Scientist Media Decision Science serves as Dominos analytical leader for paid search local media and emerging media opportunities. This role helps improve media effectiveness by identifying where Dominos should invest test optimize or evolve its strategy as customer behavior search and media platforms continue to change. 

This position partners closely with internal marketing teams agencies Google and media platforms to develop data-driven recommendations establish local media best practices and evaluate emerging capabilities. Success requires combining analytical rigor strategic thinking and the ability to turn complex information into clear recommendations that improve media decisions at Dominos. 

Responsibilities and Duties

Search Local & Emerging Media Strategy

• Serve as Dominos analytical leader for paid search and emerging media channels identifying opportunities for media investment and improving media effectiveness and business performance. 
• Define best practices for local media investment including where when and how local media should be deployed to maximize impact across markets. 
• Partner with Google agencies and internal stakeholders to understand changes in consumer behavior search and AI-powered discovery experiences translating insights into recommendations on where Dominos should test invest and innovate. 
• Translate media marketplace competitive and performance insights into actionable recommendations that improve media planning and outcomes. 

Media Intelligence & Decision Support

• Leverage tools such as iSpot Pathmatics and other market intelligence sources to monitor competitive activity media trends and emerging opportunities. 
• Translate market competitive and performance data into actionable recommendations that improve media planning and optimization decisions.
• Identify emerging risks opportunities and shifts in the media ecosystem and proactively communicate implications to stakeholders. 
• Serve as a thought leader who challenges conventional thinking and helps shape the future of media strategy and decision-making at Dominos. 

Test Design & Incrementality Measurement

• Design and evaluate experiments and quasi-experimental analyses to measure the incremental impact of media decisions. 
• Select appropriate test designs (e.g. geo tests holdouts pre/post analyses matched markets) based on business context data availability and risk. 
• Assess test validity limitations and confidence levels clearly communicating implications for decision-making. 

Partner & Stakeholder Collaboration

• Work closely with internal teams and external partners including agencies and media platforms to align on priorities measurement approaches test design and interpretation of results.
• Influence leadership decision-making by translating analytical findings into clear recommendations on where to invest test scale optimize or pull back to drive incremental business impact.
• Maintain strong productive partner relationships while exercising independent analytical judgment and prioritizing Dominos objectives. 
• Confidently challenge partner recommendations or narratives when data does not support the proposed direction

Qualifications :

• Bachelors degree in Data Science Statistics Mathematics Economics Computer Science or a related quantitative field. 
• 5 years of professional experience in data science analytics marketing science or a related analytical role. 
• Experience translating analytical results into clear recommendations that inform business decisions and performance improvement. 
• Strong communication skills with the ability to explain technical concepts and challenge assumptions with both technical and non-technical stakeholders. 
• Background in media analytics and measurement preferred

Technical Competencies

• Advanced SQL and Python or R with experience working in modern analytics platforms (e.g. Databricks or similar) to build analytical datasets validate data and support scalable analysis and modeling. 
• Demonstrated experience designing and evaluating tests or measurement approaches to assess incremental impact including media tests geo experiments holdouts and quasi-experimental analyses. 
• Applied machine learning or predictive analytics experience supporting measurement forecasting or optimization use cases. 
• Ability to translate analysis into decision-ready outputs using BI and visualization tools such as Power BI or similar platforms. 
• Familiarity with applying AI or GenAI tools to enhance analytics and decision support in a responsible and transparent manne

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 

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time