Description

Lead the framing and resolution of complex optimization problems within supply chain, logistics, and operations environments.

This role is on-site.

Responsibilities

• Frame and solve optimization problems for supply chain and logistics.
• Apply mathematical and statistical techniques to operational challenges.
• Communicate technical insights and modeling approaches clearly.
• Develop solutions using numerical, linear, nonlinear, integer, or heuristic programming.
• Collaborate with cross-functional teams.

Required Skills

• 10+ years of experience solving optimization problems in supply chain or logistics.
• 5+ years of hands-on experience with applied statistics and mathematical optimization.
• Proficiency in Python programming.
• Deep experience with numerical, linear, nonlinear, or dynamic programming.
• Practical application of integer programming, numerical methods, or heuristic methods.
• Expertise with Google OR Tools, SciPy.Optimize, CPLEX, Gurobi, GAMS, LINGO, Pyomo, or MATLAB.

Preferred Skills

• Experience building and deploying solutions in AWS.
• Educational background in Operations Research, Applied Mathematics, or Industrial Engineering.

Key Skills

Education

Any Graduate