Lead Manager Data Science Product at Starbucks

lead manager data science, Product - Seattle or Remote (
Job Number:
220025480)
Job Posting
May 26, 2022
Job Posting End Date
Aug 25, 2022
Location
US-WA-Seattle-Starbucks Support Center
Is this role eligible for remote or hybrid work? Yes-Remote
Starbucks - Data Analytics
Schedule
Full-time
Now Brewing – Lead Manager Data Science! #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 Lead Data Science Manager, you will lead a team of data & decision scientists to build data products, uncover customer insights, & communicate discoveries that drive towards better decisions across the Product (Beverage, Food & Lobby, R&D), and Finance teams. You will 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.
Build relevant analytics solutions including data transformation, algorithm development, & insight generation.
Drive adoption of analytics data products & insights across business teams.
Utilize systems thinking approach to conceive, plan & prioritize building of 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.
Mentor data & decision scientists in pioneering techniques and business acumen
We’d love to hear from people with:
Demonstrated experience with data munging, analysis, machine learning techniques, visualization & story-telling to executive audiences.
Strong problem solving skills with ability to influence leadership teams at different levels
Expert proficiency in data analysis using SQL
Expert knowledge of statistical analysis & machine learning methods (descriptive statistics, regression, clustering methods, etc.
Business experience with data visualization tools (e.g., Tableau, Power BI), and authoring presentations or papers.
Working knowledge of data systems design & data technologies.
Experience writing & providing feedback on scripts & coding (Python or R, Scala/Java a plus)
Retail, Finance, and/or eCommerce experience preferred
Join us and be part of something bigger.  Apply today!
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