Senior Optimization Scientist

We are seeking an experienced Senior Optimization Scientist to design advanced optimization models and algorithms that solve complex engineering and operational challenges. This role involves translating real-world business problems into mathematical models, developing robust optimization solutions, and working closely with cross-functional teams to bring these solutions into production.

What you’ll do

• Develop classical and metaheuristic optimization algorithms (GA, PSO, SA, etc.)
• Design custom optimization solutions for complex, constraint-driven problems
• Translate business rules into mathematical constraints and models
• Collect, clean, and preprocess data from multiple sources
• Evaluate, fine-tune, and conduct sensitivity analyses on optimization models
• Collaborate with delivery and engineering teams to productionize models
• Communicate findings and recommendations to stakeholders and senior leaders
• Mentor junior team members and share optimization best practices

What we’re looking for

• Bachelor’s or Master’s in Operations Research, Applied Mathematics, Computer Science, or related field
• 5+ years of experience in optimization or a related domain
• Strong experience with metaheuristics (GA, PSO, SA, etc.)
• Proven ability to convert complex business problems into optimization algorithms
• Proficiency in Python and libraries such as Pandas, NumPy, SciPy, and Scikit-learn
• Experience with optimization tools such as PuLP, Pyomo, DEAP, Mealpy, or Optuna
• Strong understanding of constraint programming and business rule modeling
• Effective communication skills and fluency in English

Nice to have

• Experience with data visualization tools
• Familiarity with solvers such as Gurobi, Hexaly, or CPLEX
• Knowledge of ETL and data cleansing processes
• Experience with linear optimization and OR-Tools
• Exposure to deploying models in cloud environments (AWS preferred)