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senior decision scientist, Operations Research at Starbucks

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Operations Research, Supply Chain Analytics, Data Analysis, Heuristics, Stochastic Optimization, Integer Programming, Local Search Heuristics, Gurobi, CPLEX, XPRESS, Cloud Platforms, Azure, AWS, Machine Learning, Inventory Optimization, Multi-Echelon Network Design

Industry

Retail

Description

Develop scalable solution architectures that incorporate uncertainty, nonlinearities, and multi-objective tradeoffs Design and implement heuristics, approximation algorithms, or stochastic optimization strategies when exact methods are not computationally feasible 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

Develop scalable solution architectures that incorporate uncertainty and multi-objective tradeoffs. Build relationships with business partners and establish the team as subject matter experts in supply chain analytics.