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# Manager, Data Science

- **Company:** Starbucks
- **Location:** White Bluff, TN, United States
- **Experience:** Expert
- **Salary:** $165,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Business Analytics Applications, Microsoft Azure, Information Engineering, Data Visualization, Apache Hadoop, Python (Programming Language), Power BI, Tableau (Software), Apache Spark, Data Analytics, Data Management, Data Pipelines
- **Published:** September 10, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2963036081-2

## About the Role

* Python
 * RSQLMachine learning
 * Statistical modeling
 * Data visualization (Tableau/Power BI)
 * A/B testing and experimentation
 * Big data tools (Spark/Hadoop)
 * Cloud analytics platforms (AWS/Azure/GCP)
 * Leadership and team management

## Description

Starbucks is seeking a Senior Manager, Data Science to lead advanced analytics that shape decisions across our global coffeehouse business. In this role, you will lead a team of data scientists to develop predictive models for customer behavior, store performance, and supply chain optimization across our retail and digital channels. You will partner with marketing, operations, and finance to translate data into clear, actionable strategies that elevate customer experience and operational efficiency. You'll champion data best practices, mentor talent, and foster an inclusive, collaborative culture aligned with Starbucks' mission and values., * Lead and develop a team of data scientists delivering high-impact analytics solutions

 * Design, build, and deploy predictive and prescriptive models for customer, store, and supply chain insights
 * Partner with marketing, operations, and finance to define data-driven strategies and KPIs
 * Translate complex analytical findings into clear recommendations for senior leadership
 * Establish best practices for experimentation, model governance, and data quality
 * Collaborate with data engineering to ensure robust, scalable data pipelines and infrastructure
 * Evaluate and implement new data science tools, techniques, and frameworks
 * Mentor and coach team members, fostering an inclusive, growth-oriented culture
 * Monitor model performance and continuously improve accuracy and business impact
 * Support long-term analytics roadmap aligned with Starbucks' mission and sustainability goals