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Expert - Operations Research - Mercado Envios

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelNo degree limit

Description

Job Summary: As an Expert - Operations Research, you will design and scale innovative systems to democratize e-commerce and financial services across Latin America, leading a team and optimizing logistics products. Key Highlights: 1. Work in a dynamic environment with cutting-edge technology 2. Lead a highly qualified Operations Research team 3. Challenging, dynamic, and innovative projects As an **Expert \- Operations Research** at Mercado Libre, you will design and scale innovative and secure systems that solve real-world, high-impact problems. You will work in a dynamic environment with cutting-edge technology, applying engineering best practices, proprietary AI models, and continuous learning — all aimed at democratizing e-commerce and financial services across Latin America. Imagine yourself spearheading challenging, dynamic, and innovative projects and **being responsible for:** * Leading a highly qualified Operations Research team in developing optimization-based products. * Providing optimization capabilities for Last Mile and First Mile projects operating across our logistics network. * Identifying optimization opportunities for current products and actively contributing to defining their roadmap. * Collaborating with the team throughout the solution design process from an integrated systems perspective, incorporating insights on models and algorithms. * Maintaining a business-oriented perspective on our products and their roadmap, monitoring effective metrics, cost/benefit analyses, risk analyses, and impact projections aligned with Shipping Transport objectives. * Playing an active role in designing, evolving, and improving processes in collaboration with Product, Operations, and Planning teams. **What we’re looking for in you?** * Bachelor’s or Master’s degree in Computer Science, Operations Research, Mathematics, Industrial Engineering, or a related field. * In-depth knowledge of Linear Programming (LP), Mixed Integer Programming (MIP), heuristics, and meta-heuristics. * Experience solving combinatorial optimization problems in Operations Research. * Familiarity with various data structures and algorithm design, as well as proficiency in programming languages such as C/C\+\+, Python, Java, Go, among others. * Experience with commercial solvers (e.g., CPLEX, Gurobi, Xpress) or open-source solvers (e.g., GLPK, CBC, lp\_solve). **Are you excited to leave your mark on Latin American technology?** Apply now and join our purpose! Hybrid work model. Offices in Osasco, Rio de Janeiro, Florianópolis, Belo Horizonte.

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Posted by

João Silva

Indeed · HR

Location

João Silva

Indeed · HR

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