Description

10+ years of practical experience framing and solving optimization problems in supply chain, logistics, or operations

5+ years of hands on experience with applied statistics / math and optimization techniques

Professional experience with optimization techniques such as numerical optimization, linear programming, nonlinear programming, dynamic programming, integer programming, numerical methods, or heuristic methods

Professional experience programming in Python

Experience using tools such as Google OR Tools, Scipy.Optimize, CPLEX, Gurobi, GAMS, LINGO, Pyomo,  MATLAB, Arena, Vensim on real-world problems

Experience building solutions in AWS is a plus

Educational background in Operations Research, Applied Mathematics, or Industrial Engineering is a plus

Ability to adapt in a rapidly changing environment

Ability to communicate insights and approaches in a simple, actionable manner

Ability to work independently and with team members from different backgrounds

Excellent attention to detail and problem-solving skills


 

Education

Any Graduate