We are looking for a Mathematical Optimization Consultant who will work with the core solution team to develop the ideal optimization solution for customer needs.
The ideal candidate has a strong interest in operations research and optimization, building up mathematical models to address business issues, applying optimization techniques such as column generation, branch and price, brand & bound, linear programing, mixed integer linear programming etc.
Responsibilities
- Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive effective optimization solutions.
- Develop and implement optimization models and algorithms to support decision-making related to finance, supply chain or renewable energy resources.
- Analyze market data, operation data to identify opportunities for optimization.
- Collaborate with teams and other stakeholders as needed to understand market dynamics, risk factors, and business objectives etc.
- Monitor and evaluate the performance of optimization models, making necessary adjustments and enhancements as required.
- Work with program and/or data scientists to develop and enhance optimization tools and systems.
- Prepare reports, presentations, and documentation to communicate optimization results and recommendations to stakeholders.
Requirements
We’re looking for someone with 3+ years of experience mathematical optimization, has a Master or Bachelor in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following items:
- Experience in linear programming(LP), mixed integer programming(MIP), quadratic programming(QP), large scale optimization, decomposition techniques.
- Coding knowledge and experience with Python, R and SQL
- Experience in IBM ILOG CPLEX, OPL Language will be an advantage.
- Proactive, performance-driven and results-oriented.
- Excellent communication and interpersonal skills.
- Presentation skills with good command of English and Chinese in both spoken and written.
We offer a competitive remuneration package to the right candidates. Interested parties, please submit your application to hr@ewota.com. Please visit our website https://www.ewota.com to check further details. Data collected will be used for recruitment purposes only.