decision scientist, Coffeehouse Excellence Operations Intelligence

Starbucks•Seattle, WA

4d•Hybrid

About The Position

The Decision Scientist will guide business decisions by discovering and sharing insights that help Starbucks coffeehouses provide a great customer experience. The role focuses on embedding analytics into labor, deployment, throughput, capacity, and service time, while promoting a data-driven culture across the organization. The Decision Scientist is expected to model and act in accordance with Starbucks guiding principles. The role extracts and transforms large-scale, complex data from Databricks, SQL Server, and legacy systems into analytically ready structures; performs data quality checks and maintains documentation and coding standards; applies statistical and predictive methods; creates dashboards and visualizations; and connects analysis to business requirements and decisions. The position collaborates with coffeehouse excellence, finance, and technology teams, communicates recommendations to technical and non-technical audiences, and aligns work with team and enterprise priorities. The position is onsite four days a week. Starbucks offers benefits including insurance, paid leave, retirement and stock programs, education support, and other partner resources. Actual base pay depends on factors such as job-related knowledge and skills, experience, location, and internal equity; no salary range is provided.

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 the specific field or using designated skills.
Experience using 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.
Strong written and verbal communication skills.

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 justify methodology choices to technical and non-technical audiences.
Build dashboards and visualizations using Tableau or Power BI to influence strategic and operational decisions.
Use human-centered design principles for dashboards, presentations, and analyses intended for end users.
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, vision, basic and supplemental life insurance, and other voluntary insurance benefits.
Short-term and long-term disability.
Paid parental leave and family expansion reimbursement.
Paid vacation from date of hire, accrued sick time, eight paid holidays, and two personal days per year.
Eligible participation in a 401(k) retirement plan with employer match.
Discounted company stock program (S.I.P.) and Starbucks equity program (Bean Stock).
Incentivized emergency savings and financial well-being tools.
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 and DACA reimbursement.