Decision scientist, Coffeehouse Excellence Operations Intelligence

Now Brewing – Decision Scientist – Coffeehouse Excellence Operations Intelligence! #tobeapartner

From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.

As a Decision Scientist, you will play a crucial role in guiding business decisions by discovering and sharing insights that ensure our coffeehouses provide a great experience for our customers. A key focus will be on embedding analytics into labor, deployment, throughput, capacity, and service time to build and promote a data-driven culture throughout the organization. You will model and act in accordance with Starbucks guiding principles.

• Data Engineering & Quality
  • 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 adhere to coding standards and version control.
  • Design relational and dimensional data processes to support business measurement and decision-making.
• Analytics & Modeling
  • Apply statistical and predictive techniques (regression, clustering, anomaly detection) using SQL, Python, or R.
  • Profile data and justify methodology choices to technical and non-technical audiences.
• Visualization & Storytelling
  • Build dashboards and visualizations using Tableau or Power BI to influence strategic and operational decisions.
  • Apply human-centered design principles to deliverables (dashboards, presentations, analyses) for end-users.
• Business Integration
  • Collect and interpret requirements; connect analysis to business application.
  • Communicate implications and recommendations clearly, influencing operational and strategic decisions.
• Collaboration & Evangelism
  • Partner across coffeehouse excellence, finance, and technology teams.
  • Evangelize decision science capabilities and foster a data-driven culture.
• Planning & Prioritization
  • Align work with team and enterprise priorities; proactively manage deadlines and risks.

• Education:
  
  BA/BS with preferred concentration discipline in Stats, Math, Comp Sci, Engineering, Econ, Psychology, Quantitative Social Science or similar
• Experience with coding languages to support data preparation (SQL), pipelines (Python), and data analysis (Python, R)
• Experience with data visualization tools and techniques (e.g., Tableau, Power BI, Shiny, D3)
• Excellent attention to detail, strong written and verbal communication skills
• Years of experience in specific field or utilizing designated skills:
  Minimum 1 years’ Experience

As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to 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.

Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 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.

You will also have access to backup care and DACA…