– Optimization & Operations Research Specialist

Position: Optimization & Operations Research Specialist

Main Skills Required

Mathematical Optimization Modeling (LP / MIP / CP)

Commercial & Open-Source Solvers

Supply Chain & Operational Domain Formulation

Heuristics & Metaheuristics Algorithms

Model Deployment

Scalability & Performance Tuning

Job Summary

We are looking for an experienced Optimization & Operations Research Specialist with strong expertise in mathematical modeling, advanced optimization techniques, and predictive and prescriptive analytics. The idóneo candidate will be responsible for designing and implementing optimization solutions to solve complex business problems, improve operational efficiency, reduce costs, and support data-driven decision-making.

Key Responsibilities

- Design, develop, and implement optimization models using Linear Programming (LP), Mixed Integer Programming (MIP), Constraint Programming, Network Optimization, and Heuristic/Metaheuristic techniques.
- Develop predictive and prescriptive analytics solutions to support strategic and operational decision-making.
- Build mathematical models for scheduling, routing, inventory optimization, demand planning, production planning, and capacity management.
- Analyze large-scale structured and unstructured datasets to identify process improvement and cost-reduction opportunities.
- Collaborate with business stakeholders to understand business challenges and translate them into analytical and optimization solutions.
- Develop simulation models to evaluate different scenarios, risks, constraints,



and business trade-offs.
- Deploy optimization and machine learning models into production environments.
- Monitor model performance and continuously improve optimization algorithms and analytical solutions.

Required Skills & Qualifications
- Strong foundation in Operations Research, Applied Mathematics, Statistics, Computer Science, Industrial Engineering, or a related field.
- Hands-on experience with Linear Programming, Mixed Integer Programming, Constraint Programming, and other optimization methodologies.
- Strong programming skills in Python, with experience in optimization libraries such as Pyomo, PuLP, OR-Tools, Gurobi, or CPLEX.
- Experience in predictive analytics, prescriptive analytics, and mathematical modeling.
- Knowledge of machine learning algorithms, statistical modeling, and simulation techniques.
- Experience working with large datasets and data processing tools.
- Strong analytical, problem-solving, and communication skills.
- Ability to translate complex business requirements into scalable technical solutions.

Preferred Qualifications
- Experience with cloud-based deployment environments (AWS, Azure, or GCP).
- Familiarity with SQL, data engineering, and data visualization tools.
- Experience implementing optimization solutions in supply chain, logistics, manufacturing, or related domains.
- Exposure to MLOps and production model deployment practices.

Education Bachelor’s or Master’s degree in Operations Research, Mathematics, Statistics, Computer Science, Industrial Engineering, or a related discipline.

📌 Optimization & Operations Research Specialist (México)
🏢 Centraprise
📍 México