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Data scientist, Data & Analytics; Seattle, WA

Job in Seattle, King County, Washington, 98127, USA
Listing for: TryApplyNow
Full Time position
Listed on 2026-07-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 185000 USD Yearly USD 140000.00 185000.00 YEAR
Job Description & How to Apply Below
Position: data scientist, Data & Analytics (Seattle, WA)
# data scientist, Data & Analytics (Seattle, WA)
Starbucks Coffee Company Full Timeentry Posted 2 days ago##

Role Overview Starbucks Coffee Company is hiring a entry-level data scientist, Data & Analytics (Seattle, WA). This is a full-time role. Part of Starbucks Coffee Company's Data Science hiring, posted 2 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting. Market median for Entry-level Data Science roles is $140k-$185k (based on 10 comparable listings).

Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

Python

GoRSQLLinear Tableau Power  BIORSign up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description

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 rich tradition, but 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, you’ll support business decisions by partnering on a cross-functional team to understand complex data relationships and build core data science models. You’ll use data to create insights, develop repeatable pipelines, and deliver decision-ready outputs that can be adopted into real workflows.

As a Data Scientist, you will...
* Extract, shape, and validate data using SQL (and other frameworks as needed) to create analytically-ready datasets and dimensional/relational processes that support measurement and decision-making.
* Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases.
* Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs and monitor model performance, and translating results into implications and recommendations.

We’d love to hear from people with:
* 1+ year of experience in data science, applied analytics, or related work
* BA/BS or equivalent experience
* Proficiency with SQL and Python and/or R (data prep, pipelines, modeling)
* Working knowledge of common modeling techniques (e.g., regression, classification, decision trees, clustering, causal inference)
* Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
* Strong communication skills and attention to detail### Preferred qualifications
* Degree concentration in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science, or similar)
* Advanced degree (MS or PhD) preferred.
* Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)
* Experience supporting model measurement/monitoring through dashboards and performance reporting
* 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

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…
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