Job Summary: As a Data Scientist Engineer at Mercado Livre, you will design and scale innovative and secure systems that solve real-world, high-impact problems. Key Highlights: 1. Work with cutting-edge technology in a dynamic environment. 2. Develop mathematical models and algorithms for optimization. 3. Contribute to making Mercado Livre a reference in the field. As a **Data Scientist Engineer** at Mercado Livre, 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—with the purpose of democratizing e-commerce and financial services across Latin America. Imagine yourself leading challenging, dynamic, and innovative projects and **being responsible for:** * Collaborating with the team to develop mathematical models, (meta)heuristics, approximation algorithms, and novel approaches to tackle current and future optimization challenges at Mercado Envios. * Deepening engagement with academic literature—including research papers and textbooks—to help establish Mercado Livre as a regional leader in the field across Latin America. * Understanding the problem and proposing solutions that deliver value to users and to Mercado Livre through the development of mathematical models using optimization and operations research. * Supporting client areas in scenario analysis. * Engaging users with a focus on operational efficiency, promoting an analytical culture, and supporting decision-making. * Working directly with the Project Lead on project organization, requirements gathering, risk assessment, team allocation, KPI analysis, and other role-specific activities. **What are we looking for in you?** * In-depth knowledge of Linear Programming, Mixed-Integer Programming, heuristics, and metaheuristics. * Familiarity with combinatorial optimization problems in Operations Research. * Advanced knowledge of data structures and algorithms, plus programming experience in at least one language such as C/C\+\+, Python, Java, Go, etc. * Experience with commercial solvers (CPLEX, Gurobi, Xpress) or open-source solvers (GLPK, CBC, lp\_solve). * Professional experience solving practical optimization problems and applications; publications in reputable conferences or journals in Operations Research or optimization, continuous and linear optimization, machine learning, and statistical data analysis are considered strong differentiators. **Are you excited to leave your mark on Latin America's technology landscape?** Apply now and join our mission! Hybrid work model. Offices: Rio de Janeiro, Osasco, Belo Horizonte, and Florianópolis.
João Silva
Indeed · HR
João Silva
Indeed · HR
