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# Manager, Data Science

- **Company:** Starbucks
- **Location:** Norene, TN, United States
- **Experience:** Expert
- **Salary:** $155,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Amazon Web Services, Microsoft Azure, Big Data, Information Engineering, Apache Hadoop, Python (Programming Language), Machine Learning, Power BI, Tableau (Software), Google Cloud, Apache Spark, Data Analytics, Data Pipelines
- **Published:** September 10, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2963035870-2

## About the Role

* Machine learning
 * Statistical modeling
 * Python
 * RSQLData visualization (e.g., Tableau, Power BI)
 * Big data platforms (e.g., Spark, Hadoop)
 * A/B testing and experimentation
 * Cloud analytics (e.g., AWS, GCP, Azure)
 * Leadership and team management

## Description

Starbucks is seeking a Senior Manager, Data Science to lead advanced analytics that power decisions across our global coffee and food business. In this role, you'll build and guide a high-performing data science team to optimize store operations, personalize customer experiences, and improve supply chain and pricing strategies. You will design and deploy machine learning models, collaborate with cross-functional partners, and translate complex insights into clear, actionable recommendations. You'll champion data best practices, mentor partners, and support Starbucks' commitments to ethical sourcing, sustainability, and an inclusive, values-driven culture., * Lead and mentor a data science team, setting strategy, priorities, and best practices.

 * Design, build, and deploy machine learning and statistical models to support key business decisions.
 * Partner with operations, marketing, digital, and supply chain teams to define analytics use cases and deliver actionable insights.
 * Translate complex analytical findings into clear recommendations for senior leadership.
 * Establish standards for data quality, model governance, and experimentation across the organization.
 * Develop experimentation frameworks (A/B tests) to measure impact of new initiatives.
 * Collaborate with data engineering to ensure robust data pipelines and scalable model deployment.
 * Monitor model performance and refine solutions based on business outcomes and new data.
 * Influence long-term data and analytics roadmap in alignment with Starbucks' mission and values.
 * Foster an inclusive, learning-focused culture within the data science team.