Operational Research Data Scientist | Senior

Compass.uol; Brasil; Teletrabalho; USD 60.000 - 90.000; Tempo integral

Resumo da oferta

A dynamic role for a Senior Operational Research Data Scientist at a leading IT consulting company. This position involves mathematical modeling and optimization, with a focus on working collaboratively across teams to implement effective solutions. You will utilize advanced software tools and programming languages as part of diverse projects, contributing to innovative business strategies. Join us in a remote setting where continuous learning and development are encouraged.

Qualificações

• Advanced knowledge in Operations Research and optimization techniques.
• Experience with optimization software like Gurobi, CPLEX, and open-source libraries.
• Proficiency in Python and/or C/C++.

Responsabilidades

• Perform mathematical modeling and optimization using software tools.
• Develop heuristics for solving complex optimization problems.
• Work on interdisciplinary projects and present optimization solutions.

Conhecimentos

Mathematical modeling

Optimization techniques

Data visualization

Process optimization

Python

C/C++

Statistical analysis

Machine learning

Git

Heuristics

Descrição da oferta de emprego

Operational Research Data Scientist | Senior

Join us to apply for the Operational Research Data Scientist | Senior role at Compass.uol.

Job Details

Location: Remote

Seniority level: Not Applicable

Employment type: Full-time

Job function: Other

Industries: IT Services and IT Consulting

Responsibilities and Qualifications

• Perform mathematical modeling and optimization using software tools;
• Use data visualization tools for presenting results;
• Work on multidisciplinary projects with teams from different areas to implement optimization solutions and translate business problems into mathematical models;
• Experience with optimization software such as Gurobi, CPLEX, XPress, and open-source libraries like PuLP and OR-Tools;
• Advanced knowledge in Operations Research, process optimization techniques, and mathematical programming;
• Develop and implement heuristics and meta-heuristics for solving complex combinatorial optimization problems;
• Proficiency in Python and/or C/C++;
• Deploy prescriptive models in production environments, including containerization and continuous integration;
• Knowledge of data analysis, statistics, and machine learning applied to process optimization and demand forecasting;
• Familiarity with Git, debugging, unit testing, code validation, and maintenance;
• Skills in Matplotlib, Seaborn, or Plotly;
• Desirable: Experience with AIMMS XLLibrary, developing data calculations and procedures in AIMMS.

Don't have all the requirements? That's okay! At Compass UOL, we encourage continuous development of new talents and turn challenges into opportunities.

Additional Information

#remote

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