Job Description
Now Brewing – Senior/Lead 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 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 Senior Data Scientist, you’ll help guide business decisions by building and applying statistical and machine learning approaches to solve high-impact problems. You’ll partner cross-functionally to turn ambiguous questions into measurable solutions—delivering insights and models that can be adopted into real business workflows.
As a Senior or Lead Data Scientist, you will…
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!
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and 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 Senior Data Scientist, you’ll help guide business decisions by building and applying statistical and machine learning approaches to solve high-impact problems. You’ll partner cross-functionally to turn ambiguous questions into measurable solutions—delivering insights and models that can be adopted into real business workflows.
As a Senior or Lead Data Scientist, you will…
- Develop and apply analytical models (statistical and/or machine learning) to improve decision-making, performance, and customer/partner outcomes.
- Translate business problems into data science solutions by defining approach, sourcing/validating data, and communicating clear recommendations to technical and non-technical stakeholders.
- Operationalize your work by creating repeatable analysis/model pipelines, improving model performance over time, and contributing to shared standards (documentation, version control, reproducibility).
- 4+ years in data science, applied analytics, or a closely related field
- BA/BS in a quantitative field (or equivalent practical experience)
- Proficiency with Python or R and SQL
- MS/PhD in a quantitative discipline (or equivalent advanced experience)
- Experience deploying or maintaining models in production environments (monitoring, retraining, performance measurement)
- Experience with cloud analytics platforms (e.g., AWS or Azure) and/or distributed computing (e.g., Spark)
- Familiarity with experiment design / causal inference and translating results into business actions
- Demonstrated ability to mentor others and influence cross-functional partners toward adoption
- 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.
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!
🌙 Night shift. It is 2:35 a.m. on the East Coast and most US employers are asleep, so far fewer new jobs are posted right now. Things pick up again from about 5 a.m. Eastern.
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