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
Any Graduate