Starbucks is looking to solve the problem of democratizing data and empowering decision-making across the company by hiring a senior decision scientist to drive data-driven decisions and innovation through AI and BI trends.
Requirements
- SQL
- Power BI
- Tableau
- (Micro)Strategy
- Python
- R
- ML & Statical Modeling
- GitHub Copilot or similar (Claude Code, Cline, Codex, Gemini)
- Cloud Platforms: Azure, APIs
- AI/ML Concepts
- Business Case Development
Responsibilities
- Analyze data to deliver actionable insights for supply growth and program design (SQL, Power BI, Tableau, (Micro)Strategy)
- Perform quantitative analyses to seize opportunities and build investment cases for new initiatives (Python, R, ML & Statical Modeling)
- Establish reporting cadence, monitor key metrics, and share regular updates with stakeholders (Dashboarding, KPI Tracking, Data Visualization)
- Provide ad hoc analytical support for initiatives in Marketing, Supply Chain, and Coffeehouse Operations (Data Wrangling, Business Analysis)
- Coach and mentor other Decision Scientists within the team to strengthen analytical capabilities, promote best practices, and foster a culture of continuous learning
- Partner with cross-functional teams (Operations, Advanced Analytics, Data Science, Product) to align strategies (Collaboration Tools: Jira, Confluence, Teams)
- Stay ahead of emerging AI/BI trends to accelerate data modernization efforts (Generative AI, Augmented Analytics)
Other
- Minimum 5+ Years Experience
- Education: BA/BS w/ concentration in business or quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar; Masters preferred
- Ability to balance a detail-oriented, hands-on approach with creative, “outside-the-box” thinking
- Strong communication and collaboration skills with cross-functional partners, including those with and without technical backgrounds
- Growth-minded, solution-oriented approach with a proven track record of driving projects from concept to impact
