Operations Research Engineer

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 Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.Stay connected with us Learn more about ExxonMobil in India, visit and . Follow us on and Like us on Subscribe our channel at EEO Statement