Data Scientist at Starbucks

Now Brewing – Data Scientists! #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.
The data scientist will support growth at Starbucks by expanding the reach and scale of forecasting and measurement capabilities to support future planning and decision measurement. In this role, you’ll leverage statistical analysis, time series methods, machine learning, product development, data visualization, and storytelling. Day-to-day work will balance providing short-term analytical guidance and supporting long-term forecasting and measurement product development. You will also have the opportunity to collaborate and immerse with teams across Starbucks, including finance, demand planning, store development, marketing, and loyalty.
As a data scientist, you will…

Extract and transform data from multiple sources in preparation for exploratory data analysis, modeling, and reporting. 


Leverage predictive and inferential advanced statistical and machine learning techniques to solve business problems, including methods to surface uncertainty intervals to provide increased context. 


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. 


Drive innovation by proposing and testing novel techniques and technologies to solve known problems and identify new business problems that can be addressed using data science products developed by the team. 

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 2+ 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, databases and ETL skills required including cleaning and managing data.
Advanced competency and expertise in Python, R or some combination
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 orientated, able to work under minimal guidance.
Proficient in communicating effectively with both technical and nontechnical stakeholders.
Retail and eCommerce experience preferred
Experience on Cloud platforms such as Azure, AWS, preferred
Experience working with distributed data processing frameworks such as Spark and Data bricks, and languages such as Java, PySpark or Scala, preferred

Starbucks and its brands are an equal opportunity employer of all qualified individuals.

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 206-318-0660 or via email at applicantaccommodation@starbucks.com