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

Starbucks•Seattle, WA

42d•Onsite

About The Position

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. This is a team where technology, analytics, and strategy converge to deliver impact at scale. This role sits at the core of our Data & Analytics organization, a team dedicated to transforming how data empowers decision-making across the company. Our mission is to democratize data- as a product to enable cross-functional teams and leaders to make confident, data-driven decisions that impact more than 18,000 coffeehouse leaders. The work is split into two key areas: Focused on decision science & data democratization &, creating accessible, reliable, and actionable insights (50%) Driving innovation through AI and BI trends, accelerating our journey toward data modernization (50%) Who you are... 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. In this role, you will act as a product owner and thought leader, blending the worlds of decision science and AI enablement to deliver innovative, scalable solutions that empower data-driven decisions across the enterprise.

Requirements

Minimum 5+ Years Experience
Education: BA/BS w/ concentration in business or quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, or similar; Masters preferred
Ability to balance a detail-oriented, hands-on approach with creative, "outside-the-box" thinking.
Strong communication and collaboration skills with cross-functional partners, including those with and without technical backgrounds.
Demonstrated willingness to learn continuously, adopt new technologies and approaches, and share knowledge within the technical community.
Growth-minded, solution-oriented approach with a proven track record of driving projects from concept to impact.

Nice To Haves

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

Responsibilities

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).
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 (Collaboration Tools: 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).
Proficiency in Python, SQL, and agentic coding tools such as GitHub Copilot or similar (Claude Code, Cline, Codex, Gemini).
Collaborate with architects and product owners to enable AI-driven insights and modern BI capabilities (Cloud Platforms: Azure, APIs).

Benefits

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 reimbursement.
Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies.
This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative.
For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above.
For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.