Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed strategy across our global coffee and food operations. In this role, you will use advanced analytics, experimentation, and predictive modeling to optimize pricing, product mix, and store performance. You'll partner with operations, marketing, and digital teams to translate complex data into clear insights, dashboards, and recommendations that enhance guest experience and profitability. You will mentor junior analysts, promote data literacy, and help shape a culture of ethical, responsible data use aligned with Starbucks' community and sustainability values.
Responsibilities
- Develop and deploy advanced analytics, forecasting, and predictive models to inform pricing, product, and operational decisions.
- Design and analyze A/B tests and experiments to evaluate initiatives across stores and digital channels.
- Build clear dashboards and self-service BI tools for stakeholders in operations, marketing, and digital.
- Translate complex data into actionable insights and strategic recommendations for senior leaders.
- Partner with cross-functional teams to define metrics, KPIs, and measurement frameworks.
- Mentor and guide junior analysts and data scientists, promoting best practices in analytics and coding.
- Ensure data quality, governance, and ethical use of customer and operational data.
- Communicate findings through compelling presentations, visualizations, and written summaries.
- Collaborate with technology teams to improve data pipelines, tooling, and analytics platforms.
- Support long-term analytics roadmap aligned with Starbucks' sustainability, community, and growth goals.
Required Skills
- SQLPython or RStatistical modeling
- Predictive analytics
- A/B testing and experimentation
- Machine learning fundamentals
- Data visualization (e.g., Tableau, Power BI)
- Big data tools (e.g., Spark, Hive)
- Dashboarding and reporting
- Business intelligence in retail/hospitality
- Data storytelling
- Forecasting and time-series analysis