Operations Research Engineer

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Operations Research Engineers function as internal consultants to support improved decision-making by developing models using operations research methods, such as mathematical optimization and stochastic simulation. They will work in a team environment to apply their technical skills, project management, and business domain knowledge to develop technological and analytics solutions in partnership with business units to influence and improve key business decisions.

The Operations Research Engineer is expected to work with global, cross-functional stakeholders to understand business problems (both commercially and technically), translate them into mathematical problems, and apply operations research methods to create solutions for decision support. This role will primarily work on business problems related to supply chain and commercial functions, especially for Fuels, Lubes, and Chemical products.

• 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

• Master’s degree or Ph.
  
  D. preferred in Industrial Engineering or Operations Research or Applied Mathematics or relevant Engineering field with specialization in Operations Research methods (mathematical optimization and/or stochastic simulation)
• Strong analytical skills with 3+ years’ experience in applying operations research modeling methods for large-scale problems to obtain commercial-grade quality solutions
• Ability to translate general requirements and long-term deadlines into shorter-term work tasks, self-direct work, and monitor progress
• Ability to solicit inputs from subject matter experts (SMEs) across technical and business domains and engage with cross-functional teams to drive results
• Ability to view complex subjects from both high-level and detailed perspectives, and communicate appropriately with different audiences
• 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, Ven Sim, Any Logic, etc.
• Familiarity with Python, especially for developing and deploying operations research solutions
• Experience with source code version control (Git)
• Strong written and verbal…