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Optimization Engineer – Commercial

Allegiant

Las Vegas, NV · full time

$80,000 – $100,000

Listed on Allegiant’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role applies operations research and data science to solve commercial problems for an airline, building and refining optimization models that improve pricing and capacity decisions. It suits engineers with strong quantitative skills who want to blend mathematical modeling with production Python work on high-impact business systems.

Our summary, not Allegiant’s wording. The full posting is on their site.

What they ask for

Required

  • Bachelor's degree in Applied Mathematics, Operations Research, Industrial Engineering, Data Science, Statistics, or related field
  • Minimum 2 years of experience in a technical environment
  • Production-quality Python code with Pandas, NumPy, vectorization, and parallelization
  • Strong foundation in operations research techniques including linear, nonlinear, and integer programming
  • Experience building optimization models using Python libraries like PuLP, Pyomo, or OR-Tools
  • Understanding of predictive modeling and forecasting methods and their Python implementation
  • Knowledge of statistical concepts including regression and hypothesis testing
  • SQL querying and exploratory data analysis
  • Clear communication with users and stakeholders on modeling choices and results
  • Demonstrated initiative, curiosity, and ownership mindset
  • Authorized to work in the US
  • Pass criminal background check

Nice to have

  • Master's degree or higher in a related field
  • Exposure to airline economics problems such as route planning and revenue management
  • Experience with commercial solvers like Gurobi, CPLEX, or FICO Xpress
  • Familiarity with cloud services and version control systems like AWS and GitHub
  • Front-end development experience in JavaScript and Excel VBA
  • Fluency with generative AI tools like GitHub Copilot and Claude Code

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