Senior Manager, Data Science

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.

Responsibilities

• 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.

Required Skills

• 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