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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Scientist- Digital Decision Science job in Ann Arbor - **Company:** Domino’s - **Location:** Ann Arbor, MI, United States - **Experience:** Expert - **Contract:** Franchise - **Skills:** Adobe Analytics, Microsoft Excel, Artificial Intelligence, Python (Programming Language), Microsoft Office, Microsoft PowerPoint, Power BI, Web Analytics, Data Processing - **Published:** July 11, 2026 - **Apply:** https://jobs.diversity.com/career/2409547/sr-data-scientist-digital-decision-science-michigan-mi-ann-arbor ## About the Role * Bachelor's 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 ## Description The Decision Science team drives Domino's 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., 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 post-campaign 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 decision-making * 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 team's 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 ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Scrape, Train, Predict: The Lifecycle of Data for AI Applications](https://www.wearedevelopers.com/videos/1652-scrape-train-predict-the-lifecycle-of-data-for-ai-applications) - [3x Performance: A Humbling Journey](https://www.wearedevelopers.com/videos/100165-3x-performance-a-humbling-journey) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data)