Starbucks · 6 hours ago
data scientist - Data & Analytics (Seattle, WA)
Seattle, WA
Full-time
Onsite
Entry Level
1+ years expStarbucks is a company known for its commitment to connection and leadership in the coffee industry. They are seeking a Data Scientist to develop and maintain analytical models that translate complex analyses into actionable business insights, collaborating with various teams to support strategic initiatives.
CoffeeFood and BeverageRestaurantsTea
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
Qualification
Required
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
Preferred
Familiarity with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments
Benefits
Medical, dental, vision, basic and supplemental life insurance
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
Company
Starbucks
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items.
10001+ employees
H1B Sponsorship
Starbucks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (208)
2024 (127)
2023 (130)
2022 (172)
2021 (146)
2020 (149)
Funding
Current Stage
Public CompanyTotal Funding
$2.65BKey Investors
Elliott Management Corp.Pershing Square Capital Management
2025-05-06Post Ipo Debt· $1.75B
2024-07-19Post Ipo Equity
2018-10-10Post Ipo Equity· $900M
Leadership Team
Brian R. Niccol
Chairman and Chief Executive Officer
Cathy R. Smith
CFO
Recent News
Morningstar.com
2026-01-23
2026-01-23
Company data provided by crunchbase