Participate in the scoping of business problems to apply operations research methods
Work with key contacts to identify and translate data requirements which represent the system and constraints to be modeled
Develop custom mathematical optimization and/or stochastic simulation models by applying the following: linear programming, mixed-integer programming, system dynamics simulation, and/or discrete event simulation
Proactively drive cross-functional alignment across organizations (as needed) to validate model solution quality
Create documentation to explain how the operations research methods are applied, and conduct reviews with senior technical professionals to ensure technical quality
Ensure effective and efficient pace of work by managing project timelines, coordinating project team members, and providing timely updates to stakeholders