Python MILP
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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.
Key Skills
- APIs
- Docker
- Jenkins
- REST
- Python
- AWS
- NoSQL
- MySQL
- JavaScript
- Postgresql
- Django
- GIT
About Company
Inside every Virtusan is a spirit defined by the drive to explore new frontiers, an intellectual curiosity, a need to challenge the status quo, and the inspiration to mind the greater good–all while impacting the bottom line. It all adds up to a culture of innovation.
