Job Responsibilities
- Design and development of optimization models and simulation models.
- Support OR projects individually or part of a project team.
- Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
- Identify and select the correct method to solve the problem while staying up to data on the latest OR methodologies.
- Ensure the robustness of any mathematical solution.
- Develop and communicate recommendations and OR solutions in easy-to-understand-way leveraging data to tell a story.
- Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution.
Required qualifications, capabilities and skills
- Master’s Degree with 4+ years or Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, and related disciplines operating as an operations research professional.
- Experience supporting OR projects with multiple team members.
- Hands-on experience developing simulation models, optimization models and/or heuristics.
- Deep understanding of math and theory behind Operations Research techniques.
- Proficient in Open Source Software(OSS) programming languages like Python, R or Scala.
- Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK & familiarity with basic data table operations (SQL, Hive, etc.).
- Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.
Preferred qualifications, capabilities and skills
- Advanced expertise with Operations Research techniques.
- Prior experience building Reinforcement Learning Models.
- Extensive knowledge of Stochastic Modelling.
- Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.