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Python Data Science | Mid/Senior (Remote)

Role overview

Qualifications

  • Solid background in Operations Research: mathematical modeling, process optimization, formulation of objective functions, constraints, and decision variable definition
  • Proven experience with Mixed Integer Linear Programming (MILP)
  • Experience in technical/economic feasibility studies and scenario simulation/modeling
  • Proficient in Python

Responsibilities

  • Develop and implement Operations Research solutions focusing on mathematical optimization, especially Mixed Integer Linear Programming (MILP)
  • Conduct technical and economic feasibility studies and model multiple operational scenarios
  • Perform reaction stoichiometry analyses and Net Present Value (NPV) calculations based on real value
  • Build, optimize and integrate models in Python, using libraries like Pyomo or OR-Tools

Key facts

Hard skills

About the company

Compass.uol logo

Compass.uol

  • IT Services & Consulting
  • XLarge
  • 5,001–10,000
Compasso UOL is a Brazilian technology company owned by the UOL Group, which offers technology services, and provides state-of-the-art solutions, contributing to the digital transformation of its customers so they can become leaders in its sectors of activity. Compasso UOL is a company that cultivates people's talent and use state-of-the-art technologies such as Agile Development, Multicloud, Data&Analytics, Cyber Security, Artificial Intelligence/Machine Learning, APIs/Microservices, IoT and others, providing technology and knowledge that help customers in building digital solutions that enable the transformation and evolution of their business.

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Job description

JOB DESCRIPTION


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RESPONSIBILITIES AND ASSIGNMENTS


  • Desenvolver e implementar soluções de Pesquisa Operacional com foco em otimização matemática, especialmente Programação Linear Inteira Mista (MILP);
  • Conduzir estudos de viabilidade técnica e econômica e modelagem de múltiplos cenários operacionais;
  • Realizar análises de estequiometria de reação e cálculos de Valor Presente Líquido (VPL) com base em valor real;
  • Construir, otimizar e integrar modelos em Python, utilizando bibliotecas como Pyomo ou OR-Tools;
  • Garantir a confiabilidade, manutenibilidade e qualidade do código por meio de testes unitários, alta cobertura de testes e boas práticas de versionamento.

REQUIREMENTS AND QUALIFICATIONS


  • Sólida bagagem em Pesquisa Operacional: modelagem matemática, otimização de processos, formulação de funções-objetivo, restrições e definição de variáveis de decisão;
  • Experiência comprovada com Programação Linear Inteira Mista (MILP);
  • Vivência em estudos de viabilidade técnica/econômica e simulação/modelagem de cenários;
  • Domínio de Python;
  • Experiência com bibliotecas open source de otimização (Pyomo ou OR-Tools);
  • Experiência na construção de APIs REST com FastAPI;
  • Conhecimento em banco de dados relacional: SQL / PostgreSQL;
  • Prática com controle de versão utilizando Git e GitHub;
  • Experiência com testes unitários e foco em cobertura de testes e qualidade de software.

ADDITIONAL INFORMATION


Benefícios

  • Vale-alimentação e/ou vale-refeição;
  • Plano de saúde e plano odontológico;
  • Plano de saúde para o seu pet;
  • Auxílio home office (para vagas remotas);
  • Kit de boas-vindas no onboarding;
  • Seguro de vida;
  • Zenklub, com acompanhamento psicológico e nutricional;
  • TotalPass;
  • Programa de Certificações e Capacitação Contínua com parceiros (Adobe, Anthropic, AWS, Google, Microsoft, Salesforce);
  • Parcerias e descontos para o seu desenvolvimento;
  • Acesso ao conteúdo UOL;
  • Kit maternidade;
  • Licença maternidade e paternidade estendidas; 
  • Programa de indicações.


Become a Compasser, be part of AI/R.


Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies.

We equip our team with proprietary and external AI-driven tools to design and build digital-native platforms, integrating cutting-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets.

To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies.

We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth.

Join us and be part of the AI-driven revolution.


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