senior decision scientist, Operations Research

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