data scientist - Data & Data Science (Seattle, WA)

Starbucks Coffee Company•Seattle, WA

8d•Onsite

About The Position

Now Brewing – Data Scientist! #tobeapartner 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. As a Data Scientist on the Data and Analytics (D&A) 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

Bachelors+ with concentration in quantitative discipline – Stats, Math, Comp Sci, Engineering, or similar discipline. Masters preferred. Minimum of 1 year of experience
Proficiency in coding languages for data preparation and modeling, including SQL for querying large datasets and Python for building pipelines and statistical models
Solid understanding of statistical concepts, and techniques, such as regression, classification, decision trees, clustering, and causal inference, with practical experience applying them to real-world problems
Experience with data visualization tools and techniques (e.g., Tableau, Power BI) to communicate insights effectively to technical and non-technical audiences
Demonstrated curiosity and analytical rigor, with a strong ability to explore complex datasets, identify patterns, and generate actionable insights
Excellent attention to detail, along with strong written and verbal communication skills to collaborate across cross-functional teams and present findings to stakeholders

Nice To Haves

Familiarity with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments

Responsibilities

Conduct Exploratory Data Analysis - Analyze large-scale datasets through data wrangling, feature engineering, and statistical exploration. Build reusable data pipelines using tools such as Pandas, Databricks SQL, and Spark to uncover trends, prepare raw data for modeling, and generate actionable insights.
Develop and Maintain Analytical Models - Design, enhance, and sustain statistical/analytical models tailored to specific domains such as store testing and experimentation, store development, supply chain, and marketing.
Build Predictive and Descriptive Models - Leverage historical data, domain attributes, and external signals to develop models that address diverse business challenges and improve decision-making.
Collaborate Cross-Functionally - Partner with teams across data engineering, operations, product, supply chain, and more to translate business needs into scalable data science solutions.
Influence Strategic Planning - Provide data-driven recommendations to senior leaders, contributing to long-term strategies and business roadmaps.
Demonstrate Curiosity and a Growth Mindset - Tackle complex problems with intellectual curiosity, continuously explore new features and methodologies, and stay up-to-date with industry trends and best practices.
Thrive in a Collaborative, Impact-Driven Team - Join a high-performing, supportive team that values innovation, continuous learning, and delivering meaningful business outcomes.

Benefits

medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits
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
two personal days per year
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
financial well-being tools
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
access to other educational opportunities
backup care
DACA reimbursement