What you will do
- 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
- Work effectively within cross-functional, global teams (including business domain experts, product owners, decision science engineers, and IT) to design, develop, deploy, and sustain operations research-based solutions that are scalable and with commercial-grade quality
About You
Skills and Qualifications
- Bachelors or Master s degree preferred in Industrial Engineering or Applied Mathematics (or relevant field)
- Ability to translate general requirements and long-term deadlines into shorter-term work tasks, self-direct work, and monitor progress
- Solicts inputs from subject matter experts (SMEs) and engages with cross-functional teams to drive results
- Strong analytical skills with 2+ years experience in applying operations research modeling methods (mathematical optimization and/or stochastic simulation) for commercial-grade quality solutions
- Competent in developing mathematical optimization models using mathematical modeling languages such as AIMMS, GAMS, AMPL, Pyomo, Gurobipy, etc.
- Competent in developing system dynamics simulation models using software such as Stella Architect, VenSim, AnyLogic, etc.
- 5+ years experience in applying operations research modeling methods (mathematical optimization and/or stochastic simulation) for commercial-grade quality solutions
- Curious mindset in understanding business problems and their related factors to develop solutions
- Ability to view complex subjects from both a high level and detailed perspective, and communicate appropriately with different audiences
Skills and Qualifications
- Familiarity with developing discrete event simulation models using software such as Arena, Simio, etc.
- Familiarity with Python, especially for developing and deploying operations research solutions
- Experience with source code version control (Git)
- Strong written and verbal communication skills
