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 progressSolicts inputs from subject matter experts (SMEs) and engages with cross-functional teams to drive resultsStrong analytical skills with 2+ years’ experience in applying operations research modeling methods (mathematical optimization and / or stochastic simulation) for commercial-grade quality solutionsCompetent 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 solutionsCurious mindset in understanding business problems and their related factors to develop solutionsAbility to view complex subjects from both a high level and detailed perspective, and communicate appropriately with different audiencesSkills 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 solutionsExperience with source code version control (Git)Strong written and verbal communication skillsYour 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 compensationMedical plans, maternity leave and benefits, life, accidental death and dismemberment benefitsRetirement benefitsGlobal networking & cross-functional opportunitiesAnnual vacations & holidaysDay care assistance programTraining and development programTuition assistance programWorkplace flexibility policyRelocation programTransportation facilityPlease 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.
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