senior decision scientist, Data & Analytics (Seattle, WA) at Starbucks

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

0.0

Posted On

15 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Power BI, Tableau, Python, R, Machine Learning, Statistical Modeling, Data Visualization, Business Analysis, Cloud Platforms, Azure, APIs, Dashboarding, KPI Tracking, Data Wrangling

Industry

Retail

Description

A natural problem solver who thrives on tackling complex challenges and finding innovative solutions. Product-minded with an analytical lens, always thinking about how data can be shaped into impactful products that drive business outcomes. Passionate about data—not just for its technical depth, but for the difference it can make in the lives of those who consume it, creating measurable value at scale. Self-motivated and proactive, with the ability to navigate ambiguity and deliver results in a fast-paced, evolving environment. Ability to balance a detail-oriented, hands-on approach with creative, “outside-the-box” thinking. Prior experience integrating AI-driven insights into dashboards, semantic models, citizen development, or data marts in collaboration with BI engineering, is plus advantage Technical expertise in advanced AI techniques and building AI-orchestrated pipelines for complex data analysis 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). Collaborate with architects and product owners to enable AI-driven insights and modern BI capabilities (Cloud Platforms: Azure, APIs). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Responsibilities

Analyze data to deliver actionable insights for supply growth and program design. Collaborate with architects and product owners to enable AI-driven insights and modern BI capabilities.