Senior Data Scientist
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Job Location:
Ann Arbor, MI - USA
Monthly Salary:
Not Disclosed
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
The Decision Science team drives Dominos industry-leading growth by pairing strong business thinking with advanced analytics across data science experimentation and applied measurement. The team partners closely with Marketing Loyalty Product and Technology to turn data into clear direction that improves customer engagement loyalty health and long-term retention.
The Senior Data Scientist Loyalty & Ecommerce Analytics plays a critical role in shaping how Dominos evaluates and evolves its loyalty and digital experience strategy. This role operates at the intersection of loyalty mechanics promotions and ecommerce behavior delivering insights that inform campaign design product decisions and long-term customer value. This role works independently on complex cross-functional problems applying deep analytical judgment to ambiguous questions and imperfect data. Success in this role requires strong technical depth business fluency across loyalty and ecommerce and the ability to translate analysis into clear credible narratives that influence decision making and build alignment across teams.
RESPONSIBILITIES AND DUTIES
Analytical Delivery & Technical Execution
- Own and set direction for complex analyses spanning loyalty performance perks lifecycle behavior eComm AB tests and ecommerce funnels
- Develop and interpret perk projections Active Member reporting and postcampaign analyses to inform campaign selection and prioritization
- Apply advanced analytical techniques and sound judgment when clean experimental controls are not available
Business Problem Framing & Insight Generation
- Frame ambiguous business questions into structured analytical approaches that span loyalty and ecommerce considerations
- Connect results to business context clearly articulating assumptions tradeoffs and implications for decisionmaking
- Deliver clear memos and presentations that synthesize insights for Marketing Loyalty Product and Technology partners
Cross-Functional Impact & Influence
- Act as a resource and thought partner to peers and stakeholders across Loyalty Digital Experience and Product teams
- Explain complex or sensitive findings and work to build alignment and consensus across teams
- Establish strong working relationships with subject matter experts across functions to drive shared outcomes
Innovation & Evolution of Practice
- Help advance the teams analytics practice by adopting AI-enabled tools automation and modern workflows where they meaningfully improve insight generation and scale
- Contribute reusable frameworks templates and analytical patterns that raise team standards and efficiency
Role Scope and Expectations
- Owns and sets direction for complex analytical problems end to end independently defining approach success criteria and decision framing while proactively engaging peers and leadership as needed
- Exercises seasoned judgment across multiple sources of information deliberately selecting methods tradeoffs and level of rigor based on business risk scale and downstream implications
- Raises the bar across the team by modeling strong analytical thinking elevating storytelling standards and coaching others to challenge assumptions and strengthen conclusions
- Extends impact beyond individual work by establishing reusable frameworks shared context and analytical patterns that improve consistency efficiency and quality across the team
- Builds deep trust with partners by delivering insights that are reliable well-reasoned and clearly connected to business realities tradeoffs and decision paths
Qualifications :
- Bachelors Degree in Data Science Statistics Mathematics Marketing Science or related field
- 3 years of professional related data science experience
- Advanced knowledge of a web-analytics tools like Adobe Analytics or similar products
- Proficient in SQL querying with ability to clean transform and process data
- Proficient in R or Python with emphasis on statistical analysis.
- Applied experience with statistical testing with firm understanding of test design
- Proficient in Microsoft Office Fluent in Power Point Excel and PowerBI or similar products
- Excellent project management and collaboration skills
Additional Information :
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
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
Whats behind one of the worlds top public restaurant brands? Fun and innovative franchise and corporate team members who are driven to win. Inspired to make each day better than the last, people may join for different reasons but what motivates them to stay are the passionate and ta ... View more
