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Data Scientist, Global Supply Chain
Company | Starbucks |
Address | Seattle, WA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Food and Beverage Services,Manufacturing,Retail |
Expires | 2023-10-14 |
Posted at | 7 months ago |
Now Brewing – Data Scientist #tobeapartner
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 [email protected].
- Drive adoption of data products and insights across business teams by visualizing results and crafting effective communications to share discoveries
- Apply machine learning and statistical knowledge to create optimization models & predictive analyses
- Lead data science solutions from beginning to end
- Evaluate unstructured questions from business teams and translate into data problems
- Build relationships with a wide-range of business partners and establish yourself and the team as subject matter experts in supply chain analytics
- Utilize systems thinking approach to conceive, plan, and build new data products
- Leverage presentation skills to be able to share insights and recommendations at a leadership level and lead more detailed technical reviews with the analytics community
- Work independently and through ambiguous situations to build relevant analytic solutions using quantitative approaches
- Strong competency and expertise in Python, R, or some combination
- Experience on Cloud platforms such as Azure, AWS, preferred
- Experience with integer programming, local search heuristics, and related Operations Research tools (e.g. Gurobi, CPLEX, XPRESS)
- MS+ with concentration in quantitative discipline – Operations Research, Stats, Math, Comp Sci, Engineering, Econ, or similar discipline
- 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
- Strong SQL, database and ETL skills required including cleaning and managing data
- Self-starter, attention to details and results orientated, able to work under minimal guidance
- Proficient in communicating effectively with both technical and nontechnical stakeholders.
- Strong background working with predictive and statistical modeling, machine learning, optimization, and strong expertise in all phases of the modeling pipeline
- Experience building complex data sets from multiple data sources, both internally and externally
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 [email protected].
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