Optimization Engineer – Commercial

Summary The Optimization Engineer – Commercial transforms complex commercial decisions into model-based solutions that improve profitability outcomes and automate manual processes. The position combines operations research modeling skills with software engineering fundamentals to deliver reliable, production-ready workflows. They will iterate on existing optimization logic to enhance model outputs, drive automation in production systems, debug errors in recurring runs, and collaborate with stakeholders on new feature requests. This role partners closely with the Commercial Data Science team to integrate predictive models into prescriptive processes. The employee will be expected to continuously upskill in the relevant areas and work toward ownership of their assigned systems. Visa Sponsorship Available No Minimum Requirements Combination of Education and Experience will be considered. Must be authorized to work in the US as defined by the Immigration Act of 1986. Must pass a Criminal Background Check. Education:  Bachelor’s Degree in Applied Mathematics, Operations Research, Industrial Engineering, Data Science, Statistics, or related field.  Years of Experience:  Minimum two (2) years of experience in a technical environment. •    Proficiency in writing production-quality code in Python, utilizing libraries like Pandas/NumPy and using advanced techniques such as vectorization and parallelization. •    Strong foundation in operations research techniques, including linear/non