Python MILP
Python MILP
Posted on :
17-09-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
We are seeking a skilled Operations Research Scientist / Optimization Specialist to design develop and implement advanced optimization models and scheduling algorithms that solve complex operational challenges. You will work closely with cross-functional teams to translate business problems into mathematical models leveraging your expertise in Mixed Integer Linear Programming (MILP) production network design and data analytics. Proficiency in Python and hands-on experience with optimization solvers are essential. Key Responsibilities: Design and develop optimization models (e.g. MILP LP heuristics) for supply chain manufacturing logistics or resource allocation problems. Implement advanced scheduling algorithms to improve operational efficiency and service levels. Translate real-world business challenges into mathematical models and provide actionable insights. Use Python and optimization libraries (e.g. Gurobi CPLEX Pyomo PuLP) to build test and deploy scalable solutions. Analyze large datasets to identify trends and validate model assumptions. Collaborate with data scientists engineers and business stakeholders to integrate optimization models into decision-support systems. Continuously evaluate and enhance model performance based on feedback and operational outcomes. Document model design assumptions validation processes and results clearly and effectively.
Employment Type
Full-Time
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
