Description
Starbucks is hiring a Lead Data Scientist for its Retail Testing Analytics team to lead production-grade statistical frameworks, causal inference, experimentation, optimization, and machine learning solutions. The role partners with cross-functional business teams, evaluates strategic initiatives, translates analytical findings into recommendations, and mentors Data and Decision Scientists. Candidates need at least five years of progressive data science experience, strong Python, SQL, and cloud analytics skills, and experience with PySpark, Databricks, and enterprise-scale analytical systems. The position is onsite four days per week and includes medical, dental, vision, retirement, leave, and other partner benefits.
