decision scientist, Coffeehouse Excellence Operations Intelligence
About The Position
As a Decision Scientist on the Coffeehouse Excellence Operations Intelligence team, you will guide business decisions by discovering and sharing insights that help Starbucks coffeehouses provide a great customer experience. A key focus is embedding analytics into labor, deployment, throughput, capacity, and service time to promote a data-driven culture. The role involves preparing and validating complex data, applying statistical and predictive methods, creating visualizations, connecting analysis to business needs, and partnering across coffeehouse excellence, finance, and technology teams. The position is onsite four days per week.
Requirements
- BA/BS degree; a concentration in statistics, mathematics, computer science, engineering, economics, psychology, quantitative social science, or a similar discipline is preferred.
- At least 1 year of experience in a specific field or using designated skills.
- Experience with SQL for data preparation, Python for pipelines, and Python or R for data analysis.
- Experience with data visualization tools and techniques, such as Tableau, Power BI, Shiny, or D3.
- Excellent attention to detail and strong written and verbal communication skills.
Nice To Haves
- A degree concentration in statistics, mathematics, computer science, engineering, economics, psychology, quantitative social science, or a similar discipline.
Responsibilities
- Extract and transform large-scale, complex data from Databricks, SQL Server, and legacy systems into analytically ready structures.
- Perform data quality checks, maintain documentation, and follow coding standards and version control practices.
- Design relational and dimensional data processes to support business measurement and decision-making.
- Apply statistical and predictive techniques, including regression, clustering, and anomaly detection, using SQL, Python, or R.
- Profile data and explain methodology choices to technical and non-technical audiences.
- Build dashboards and visualizations using Tableau or Power BI to influence strategic and operational decisions.
- Apply human-centered design principles to dashboards, presentations, and analyses.
- Collect and interpret requirements and connect analysis to business applications.
- Communicate implications and recommendations clearly to influence operational and strategic decisions.
- Partner with coffeehouse excellence, finance, and technology teams.
- Promote decision science capabilities and foster a data-driven culture.
- Align work with team and enterprise priorities and proactively manage deadlines and risks.
Benefits
- Medical, dental, and vision insurance
- Basic and supplemental life insurance
- Other voluntary insurance benefits
- Short-term and long-term disability
- Paid parental leave
- Family expansion reimbursement
- Paid vacation from date of hire
- Sick time accrued at 1 hour for every 25 hours worked
- Eight paid holidays and two personal days per year
- 401(k) retirement plan with employer match for eligible partners
- Discounted company stock program (S.I.P.)
- Starbucks equity program (Bean Stock)
- Incentivized emergency savings and financial well-being tools
- 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan
- Student loan management resources and access to other educational opportunities
- Backup care
- DACA reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
