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

Senior Decision Scientist, Data & Analytics (Seattle, WA)

Join Starbucks to apply for the Senior Decision Scientist, Data & Analytics role in Seattle, Washington.

Base Pay Range

$130,300.00 / yr - $217,400.00 / yr

About the Role

From the beginning, Starbucks aims to be a different kind of company, celebrating coffee and fostering connection. This team blends technology, analytics, and strategy to deliver impact at scale. The role sits at the core of our Data & Analytics organization, dedicated to transforming how data empowers decision‑making across the company. Our mission is to democratize data as a product, enabling cross‑functional teams and leaders to make confident, data‑driven decisions that impact more than 18,000 coffeehouse leaders.

Key Responsibilities

• Focus on decision science & data democratization, creating accessible, reliable, and actionable insights (50%)
• Drive innovation through AI and BI trends, accelerating our journey toward data modernization (50%)
• 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 & statistical 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 (Jira, Confluence, Teams)
• Stay ahead of emerging AI / BI trends to accelerate data modernization efforts (Generative AI, Augmented Analytics)
• Identify and prioritize AI and BI opportunities with clear value hypotheses and success metrics (AI / ML concepts, business case development)
• Collaborate with architects and product owners to enable AI‑driven insights and modern BI capabilities (Cloud platforms : Azure, APIs)

Qualifications

Preferred Qualifications

Benefits & Perks

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 enjoy paid parental leave, sick time, 8 paid holidays, two personal days per year, and access to a 401(k) plan with employer match, Starbucks equity program, tuition coverage, emergency savings, and more. For details, visit https : / / starbucksbenefits.com.

EEO Statement

Starbucks Coffee Company is an equal‑opportunity employer. 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.

Job Details

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