> Markdown version of [/jobs/ext/3870975-senior-lead-decision-scientist-data-analytics-nashville-tn](https://www.wearedevelopers.com/jobs/ext/3870975-senior-lead-decision-scientist-data-analytics-nashville-tn). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior/Lead Decision Scientist, Data & Analytics (Nashville, TN) - **Company:** Starbucks - **Location:** Arrington, TN, United States - **Experience:** Expert - **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:** October 22, 2026 - **Apply:** https://www.nettemps.com/us/en/WF5F02EB5D939C0E1F9.ntap ## 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).