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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Starbucks Sr/lead Decision scientist - **Company:** Starbucks - **Location:** White House, TN, United States - **Experience:** Expert - **Salary:** $115,300.0 - $215,900.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Microsoft Azure, Data Cleansing, Data Integrity, Data Mart, R (Programming Language), Python (Programming Language), Machine Learning, MicroStrategy, Power BI, SQL Databases, Tableau (Software), Generative AI, Data Analytics, Alteryx - **Published:** August 5, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2908638908-2 ## About the Role * Strong communication and facilitation skills with cross-functional teams, including those with and without technical backgrounds * Loves working with people and building connections * Comfortable managing complexity and change * Excellent documentation and organizational skills * Experience bridging technical and business teams * Demonstrated willingness to learn continuously, adopt new technologies and approaches, and share knowledge * Growth-minded, solution-oriented, and curious! * Enjoy working with people and data!, * 5+ years in analytics, decision science, roles. * Education: BA/BS in business or quantitative discipline (Stats, Math, Comp Sci, Engineering); Masters preferred. * Strong communication and storytelling skills with an executive presence. * Proven ability to drive projects from concept to impact in ambiguous environments. * Technical proficiency in Python, SQL, and modern BI tools; familiarity with AI/ML concepts. Preferred: * Experience integrating AI-driven insights into dashboards, semantic models, or data marts. * Expertise advanced AI techniques and build AI-orchestrated pipelines for complex data analysis. ## Description From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. As a Starbucks Sr/lead Decision scientist on the data democratization team, you will . . . Be part of the team that powers data-driven decision-making across our data democratization team at coffeehouse operations, Partners and Supply Chain domain. You will help shape how insights are translated into action-enabling teams to optimize store performance, improve partner and customer experience, and scale solutions across the enterprise. Who you are... * A natural facilitator who loves working with people and building connections * Comfortable managing complexity and change * Passionate about data integrity and compliance * Growth-minded, solution-oriented, and eager to learn continuously Key Responsibilties: * Partner with cross-functional stakeholders to define problem statements, success metrics, and decision frameworks * Translate ambiguous business problems into structured analytical frameworks and actionable insights * Guide stakeholders through trade-offs, risks, and implications of data-driven recommendations * Communicate insights clearly to both technical and non-technical audiences, influencing decisions at multiple levels What you'll do: * Analyze data to deliver actionable insights with strong hands-on experience with modern analytics and BI tools, including Alteryx, Power BI, Tableau, and MicroStrategy * Ability to design, build, and scale interactive dashboards and reporting solutions that drive decision-making * data preparation, transformation, and workflow automation (eg, Python, R, SQL) to enable efficient analytics * Establish reporting cadence, monitor KPIs, and share updates with stakeholders. * Stay ahead of emerging AI/BI trends to accelerate data modernization efforts (Generative AI, Augmented Analytics). * Collaborate with architects and engineers to enable AI-driven insights and modern BI capabilities (Cloud Platforms: Azure, APIs). ## 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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [12 Unusual Predictions For 2024](https://www.wearedevelopers.com/magazine/347-12-unusual-predictions-for-2024) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)