Python Data Science | Mid/Senior

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Beschreibung

Accountabilities: - Design, develop, and implement Operations Research solutions focused on mathematical optimization, particularly Mixed-Integer Linear Programming (MILP). - Conduct technical and economic feasibility studies, evaluate alternative strategies, and model multiple operational scenarios to support informed business decisions. - Perform reaction stoichiometry analyses and calculate Net Present Value (NPV) using real-value assumptions to assess project feasibility and economic outcomes. - Build, optimize, and integrate mathematical optimization models in Python using open-source libraries such as Pyomo or OR-Tools. - Develop and maintain RESTful APIs using FastAPI to make optimization capabilities accessible and integrate them into broader systems. - Ensure code reliability, maintainability, and performance through unit testing, high test coverage, version control, and adherence to software development best practices. - Collaborate with relevant stakeholders to translate complex operational requirements into robust, efficient, and scalable technical solutions. - Requirements: Strong experience in Operations Research, including mathematical modeling, process optimization, objective function formulation, constraint definition, and decision variable selection. - Proven hands-on experience with Mixed-Integer Linear Programming (MILP) and mathematical optimization techniques. - Experience conducting technical and economic feasibility studies, as well as simulation and o

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