Python Data Science | Mid/Senior

📋 Description

• Design, develop, and implement Operations Research solutions focused on mathematical optimization
• Conduct technical and economic feasibility studies, evaluate alternative strategies, and model
• Perform reaction stoichiometry analyses and calculate Net Present Value (NPV) using real-value
• Build, optimize, and integrate mathematical optimization models in Python using open-source
• Develop and maintain RESTful APIs using FastAPI to make optimization capabilities accessible and
• Ensure code reliability, maintainability, and performance through unit testing, high test coverage

🎯 Requirements

• Strong experience in Operations Research, including mathematical modeling, process optimization
• Proven hands-on experience with Mixed-Integer Linear Programming (MILP) and mathematical
• Experience conducting technical and economic feasibility studies, as well as simulation and
• Advanced proficiency in Python, including the ability to develop clean, efficient, and maintainable
• Practical experience with open-source optimization libraries such as Pyomo or OR-Tools.
• Experience designing and developing REST APIs using FastAPI.

🎁 Benefits

• Meal and/or food allowance.
• Medical and dental insurance.
• Pet health insurance.
• Home office allowance for remote positions.
• Welcome kit during onboarding.
• Life insurance.