Mathematical Optimization Analyst - Distrito Federal, Brasil - Cassotis Consulting

Descrição

Cassotis is a renowned Belgo-Brazilian consultancy, a leader in digital transformation for major industries worldwide.

With a focus on tailored solutions powered by prescriptive analytics, we have established a presence in over 10 countries across Europe, Asia, North America, and Latin America.

We are seeking dedicated professionals who want to contribute to our global growth.

As aMathematical Optimization Analystat Cassotis, you will be part of a team developing highly-valuable solutions using mathematical optimization and operational research.

Your responsibilities will include:

Developing and customizing new models:
Mathematical modelingDeveloping graphical interfacesData analysis and regression developmentProviding support to clientsAssisting users in utilizing the modelsResolving bugs and integrating with the development teamEvolving existing models with new functionalitiesSupporting commercial activities by contributing to Proof of Concepts and demonstrations

Requirements:
To excel in this role, you should meet the following requirements:Knowledge of Operations Research (linear and non-linear programming, binary and integer programming, as well as heuristics and meta-heuristics)

Proficiency in programming languages (Java, Python) and algebraic languages (AMPL)Experience with various solvers (e.g.

, CONOPT, CPLEX, LocalSolver, Gurobi)Basic statistical knowledge:

descriptive and predictive data analysis (Excel or Python)Fluency in English.
Analytical, autonomous, proactive, and curious profile.
Strong oral and written communication skillsPrevious experience in industrial processes will be considered a plus.


We offer:
By joining Cassotis, you will become a part of a dynamic and ever-evolving team that values healthy, long-term relationships


Additionally, we offer:

Attractive salary and usual perksFlexible work with an average presence in the Belo Horizonte office for three days a week.

Come join our team