senior data scientist - Pricing (Seattle, WA)

Starbucks Coffee Company•Seattle, WA

16h•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. Are you driven to uncover meaningful insights and build data-powered solutions that shape the future of the world’s leading coffeehouse brand? As a Senior Data Scientist on the Pricing Data Science team, you will be responsible for developing, enhancing, and maintaining analytical models and optimization algorithms. Your work will translate complex analyses into actionable business insights, empowering leaders to make data-driven decisions. You will collaborate closely with cross-functional teams—including Finance, Store Development, Retail Testing, Supply Chain, Marketing, Product, and Customer teams—to support strategic initiatives and influence key business decisions.

Requirements

Education: Bachelor’s with a concentration in a quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline. Masters preferred
Minimum of 5+ years of industry experience in data and analytics work
Strong problem-solving skills with the ability to influence leadership teams at different levels
Significant experience working with predictive and statistical modeling, machine learning, and strong expertise in all phases of the modeling pipeline
Strong SQL, databases, and ETL / ELT skills required including cleaning and managing data.
Advanced competency and expertise in Python, R, or some combination
Experience working with distributed data processing frameworks such as Spark and Databricks, and languages such as Java, PySpark, or Scala
Strong collaboration instincts – desire & ability to work with partners to achieve the best outcome for the business.
Excellent communication, presentation, and storytelling skills. The role requires effective communication with colleagues, stakeholders, and leaders from diverse backgrounds.
Proven ability to manage multiple, time-sensitive projects and competing priorities simultaneously to drive projects to completion with minimal guidance and high attention to details.

Nice To Haves

Expertise in building Bayesian elasticity models and causal inference
Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support
Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments

Responsibilities

Lead the design and development of scalable data science solutions from the start to the finish by utilizing machine learning, and statistical analysis. Build scalable processes for cleaning, aggregating, and loading data.
Understanding business initiatives, challenges, questions, concerns, or ideas, transforming them into successful data science solutions, and monitor data science metrics and KPIs
Mentor data analysts & data scientists on best practices, processes, frameworks, and KPIs
Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.
Strategic Analytics & Cross‑Functional Engagement: Support for Pricing Strategy, Finance insights, pricing reviews, and stakeholder alignment.
Pricing Codebase & System Maintenance: Ownership of pricing pipelines, audits, error‑handling, and alerting.
Elasticity Modeling: Model ownership, documentation, automated runs, monitoring, and issue resolution.
Store Zoning Models: Maintenance of both full rezone (k‑means) and targeted zoning prediction workflows.
Onboarding & Pricing Methodology Stewardship: Lead onboarding, maintain Pricing 101, and curate methodology documentation.

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.