Role and Responsibilities

• Work independently on optimization projects for multiple business functions
• Identify and frame the optimization opportunity from understanding the business problem/opportunity
• Gather, cleanse, and transform internal and external data
• Analyze data and deliver insights via visualizations and dashboards
• Create, productionize, and maintain models/solutions that address business problems
• Present, explain and defend results from analysis and modeling, and approach taken
• Participate in strategic planning discussions around optimizations, data science and big data analytics.

Required Experience

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

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