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, Analytics, Insights, and Business Operations team, you will work cross-functionally with data engineers, data scientists, business experts, and external vendors to help Starbucks make decisions better by using data and analytics. You will use your experience with forecasting, automating ETL processes, and designing and building analytical models using structured or unstructured data. You will work directly with business partners and technology teams from problem identification to solution. You will quickly become an expert in one of our key business and data domains (Supply Chain, People Analytics, Marketing, or Store) and work cross-functionally in an analytics center of excellence to improve existing processes or analytical approaches.
As a data scientist, you will…
- Extract data from various databases; perform exploratory data analysis, cleanse, massage, and aggregate data.
- Determine analytics approach to solve business problems; incorporate machine learning algorithms where appropriate.
- Employ scaling & automation to data preparation techniques.
- Transform model outputs into formats that are digestible to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.
We’d love to hear from people with:
- Education: BS+ with concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science, or similar discipline.
- Minimum of 3+ years industry experience in data science.
- Strong background working with predictive and statistical modeling, machine learning, and strong expertise in all phases of the modeling pipeline.
- Experience building complex data sets from multiple data sources, both internally and externally.
- Strong SQL, database and ETL skills required including cleaning and managing data.
- Advanced competency and expertise in Python, R, or other platforms.
- Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities.
- Ability to educate others on statistical/machine learning methods.
- Self-starter, attention to details and results-oriented, able to work under minimal guidance.
- Proficient in communicating effectively with both technical and non-technical stakeholders.
- Experience on Cloud platforms such as Azure or AWS preferred.
Join us and be part of something bigger. Apply today!
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans, and persons with disabilities are encouraged to apply. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state, and local ordinances. Starbucks Corporation 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
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