- 5+ 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 word 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
Updated Skillet
Must Have – Optimization Problem Solving
- Nice to Have – AWS, Git, Python, SQL, Time Analysis
Other Top Things:
- Linear and Non Linear Methods – main thing
- Ability to frame a real world problem as an optimization problem
- Numerical optimization, linear programming, nonlinear programming, dynamic programming, integer programming, numerical methods, or heuristic methods
- In-Depth experience of this work needed, someone who can identify a problem and tell the path to take for solution
- Ultimately, they will bring data in and try to solve every day, real-world EProd problems with optimization techniques