Senior Data Scientist

Key Skills

Java Programming, Python Programming, SQL, PowerBI, Scala Programming, Tableau, R Programming

Job Description

Now Brewing – Senior 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 Starbucks Sr. Data Scientist, you will build data products, uncover customer insights, & communicate discoveries that drive towards better decisions across the Core Product, Product Innovation, and Research & Development domains, and develop a strong partnership with stakeholders to enhance understanding of our customers.

Leveraging your previous experience, we will enable you to:

• Evaluate & translate unstructured questions from business teams to data problems, and define roadmap for potential data solutions.
• Work independently as well as part of cross-functional teams to build relevant analytics solutions using quantitative approaches.
• Drive adoption of analytics data products & insights across business teams.
• Utilize systems thinking approach to conceive, plan & build evergreen data products.
• Develop analytic systems & predictive models, experiment with new data science techniques, and visualize data & craft effective communications to share discoveries
• Establish key performance indicators for the business team and promote data driven decision making that allows for effective planning in stakeholder teams
• Establish yourself & the team as subject matter experts in advanced analytics across departments
• Collaborate with other data scientists & business teams across the larger Product spaces to drive foundational understanding of the Starbucks customer experience

We’d love to hear from people with:

• Demonstrated experience with data munging, analysis, machine learning techniques & visualization.
• Strong problem solving skills with ability to influence business teams at different levels
• Working knowledge of data systems design & data technologies
• Knowledge of statistical methods & scripting (SQL, Python or R)
• Retail, customer loyalty, and/or eCommerce experience