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

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Mathematical Modeling, Statistical Knowledge, Optimization Models, Predictive Analyses, Supply Chain Analytics, Data Engineering, Cross-Functional Collaboration, Integer Programming, Local Search Heuristics, OR Tools, Cloud Platforms, Multi-Echelon Network Design, Inventory Optimization, Machine Learning Models, Communication Skills, Analytic Solutions

Industry

Retail

Description

Working cross-functionally with data engineers, data scientists, business experts, and external vendors, you will play a critical role integrating mathematical modeling and real-world operational decision-making to deliver results for our business, partners and customers. 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

The decision scientist will work cross-functionally with various teams to integrate mathematical modeling with operational decision-making. They will evaluate business questions and translate them into data problems to deliver results for the business and its partners.