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

Summary

Location

Seattle

Type

full-time

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About this role

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.

 

As a data scientist, you will… 

·       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.

 

We’d love to hear from people with: 

·      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 Skills: 

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

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. 

 

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity.  At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. 

 

We believe we do our best work when we're together, which is why we're onsite four days a week.

Join us and inspire with every cup. Apply today! 

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. 
 
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at [email protected] or 1(888) 611-2258.  

Other facts

Tech stack
Data Analysis,Data Wrangling,Feature Engineering,Statistical Exploration,SQL,Python,Statistical Concepts,Data Visualization,Curiosity,Analytical Rigor,Attention to Detail,Communication Skills,Collaboration,Predictive Modeling,Descriptive Modeling,Cloud Analytics

About Starbucks Coffee Company

At Starbucks, we like to say that we are not in the coffee business serving people, but in the people business serving coffee. Here, our employees - who we call partners – are the heart of the Starbucks experience, and being a partner means aspiring to become part of something bigger: inspiring positive change in the world and growing in your career and in your community. ​

It’s an opportunity to be your personal best. ​ Starbucks is an equal opportunity employer of all qualified individuals, including minorities, veterans and individuals with disabilities.​​

In everything we do, we are dedicated to our mission: To be the premier purveyor of the finest coffee in the world, inspiring and nurturing the human spirit — one person, one cup and one neighborhood at a time.

Join us. Inspire with every cup. Explore opportunities, benefits and more at careers.starbucks.com

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Retail

What you'll do

  • As a Data Scientist, you will develop and maintain analytical models and optimization algorithms, translating complex analyses into actionable business insights. You will collaborate with cross-functional teams to support strategic initiatives and influence key business decisions.

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Frequently Asked Questions

What does a data scientist - Data & Data Science (Seattle, WA) do at Starbucks Coffee Company?

As a data scientist - Data & Data Science (Seattle, WA) at Starbucks Coffee Company, you will: as a Data Scientist, you will develop and maintain analytical models and optimization algorithms, translating complex analyses into actionable business insights. You will collaborate with cross-functional teams to support strategic initiatives and influence key business decisions..

Why join Starbucks Coffee Company as a data scientist - Data & Data Science (Seattle, WA)?

Starbucks Coffee Company is a leading Retail company.

Is the data scientist - Data & Data Science (Seattle, WA) position at Starbucks Coffee Company remote?

The data scientist - Data & Data Science (Seattle, WA) position at Starbucks Coffee Company is based in Seattle, Washington, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the data scientist - Data & Data Science (Seattle, WA) position at Starbucks Coffee Company?

You can apply for the data scientist - Data & Data Science (Seattle, WA) position at Starbucks Coffee Company directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Starbucks Coffee Company on their website.