Starbucks is looking to solve business problems by leveraging data science to build data products, uncover customer insights, and communicate key discoveries to drive better decision-making across Customer, Marketing, Digital, and Product domains.
Requirements
- Proficiency in Python or R, SQL, and relational databases
- Knowledge of machine learning and statistical modeling techniques including regression, decision trees, classification, causal inference, and clustering algorithms
- Exposure to production machine learning systems development, package creation, code repository management, and software development best practices
- Experience with cloud tech for data and analytics solutions (Azure, AWS)
Responsibilities
- Translate business questions into data problems and define solutions roadmap; build analytics solutions independently and with cross-functional teams.
- Develop and promote analytics and AI/ML products and insights; establish KPIs and drive data-driven decision-making across business teams.
- Collaborate and establish expertise in advanced analytics; drive understanding of strategic customer initiatives across departments.
Other
- Minimum 7 years’ experience within the field of data science or discipline
- 8+ years’ experience managing a team
- Excellent attention to detail, strong written and verbal communication skills
