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senior data scientist (Seattle, WA - U.S.) at Starbucks

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Knowledge, Optimization Models, Predictive Analyses, Data Problem Translation, Relationship Building, Supply Chain Analytics, Analytic Solutions, Integer Programming, Local Search Heuristics, OR Tools, Cloud Platforms, Multi-Echelon Network Design, Inventory Optimization, Machine Learning Models, Communication Skills, Cross-Functional Projects

Industry

Retail

Description

Evaluate unstructured questions from business teams and translate into data problems Apply statistical knowledge to create optimization models & predictive analyses Build relationships with a wide-range of business partners and establish yourself and the team as subject matter experts in supply chain analytics All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Ability to work independently and through ambiguous situations to build relevant analytic solutions using quantitative approaches Experience building complex data sets from multiple data sources, both internally and externally Experience with integer programming, local search heuristics, and related OR tools (e.g. Gurobi, CPLEX, XPRESS) 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 / optimization modeling methods Proficient in communicating effectively with both technical and nontechnical stakeholders Experience on Cloud platforms such as Azure, AWS, preferred Experience with multi-echelon network design and inventory optimization, preferred Experience developing and fitting machine learning models, preferred

Responsibilities

Evaluate unstructured questions from business teams and translate them into data problems. Build relationships with business partners and establish the team as subject matter experts in supply chain analytics.