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Cientista de Dados Sênior (Machine Learning & IA) Senior | Remote

Role overview

Summary

This role focuses on developing and implementing Machine Learning models to address complex business challenges at Compass UOL. You will work within a team that leverages AI technologies to transform organizations and drive innovation.

Qualifications

  • Solid practical experience in Data Science / Machine Learning at a Senior level.
  • Advanced programming skills in Python (Scikit-learn, XGBoost, LightGBM, Statsmodels, SciPy).
  • Practical experience in creating analytical applications and prototypes with Streamlit.
  • Solid experience with Deep Learning frameworks (PyTorch and/or TensorFlow).
  • Experience in experimentation environments and notebooks (Databricks, Jupyter) and ML lifecycle (MLflow).

Responsibilities

  • Develop and deploy predictive models and Machine Learning algorithms to solve complex business analytical challenges.
  • Conduct end-to-end analytical cycles: data exploration, statistical modeling, validation, interpretation, and monitoring of impact metrics.
  • Develop interactive interfaces and prototypes to enable consumption of solutions and models by user areas, especially with Streamlit.
  • Structure and maintain experimentation pipelines with notebooks and experiment tracking. Collaborate actively with data engineers and developers to integrate solutions into production environments.

Key facts

Hard skills

Other skills

  • Collaboration
  • Analytical Thinking

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 implantar modelos preditivos e algoritmos de Machine Learning para solucionar desafios analíticos complexos de negócio;
  • Conduzir o ciclo analítico de ponta a ponta: exploração de dados, modelagem estatística, validação, interpretação e acompanhamento de métricas de impacto;
  • Desenvolver interfaces e protótipos interativos para viabilizar o consumo das soluções e modelos pelas áreas usuárias (especialmente com Streamlit);
  • Aplicar abordagens estatísticas, aprendizado supervisionado, não-supervisionado e Deep Learning de acordo com o desafio de negócio;
  • Estruturar e manter pipelines de experimentação com notebooks (Databricks, Jupyter) e rastreamento de experimentos (MLflow);
  •  Colaborar ativamente com engenheiros de dados e desenvolvedores na integração das soluções aos ambientes produtivos.

REQUIREMENTS AND QUALIFICATIONS


  • Sólida experiência prática em Ciência de Dados / Machine Learning em nível Sênior;
  • Domínio avançado de programação em Python (Scikit-learn, XGBoost, LightGBM, Statsmodels, SciPy);
  • Experiência prática na criação de aplicações analíticas e protótipos com Streamlit;
  • Vivência sólida com frameworks de Deep Learning (PyTorch e/ou TensorFlow);
  • Experiência em ambientes de experimentação e notebooks (Databricks, Jupyter) e ciclo de vida de ML (MLflow);
  • Familiaridade e interesse prático com aplicações envolvendo LLMs e IA Generativa;
  • Diferenciais
  • Conhecimento prático ou experiência prévia em desenvolvimento frontend com React voltado a aplicações de dados;
  • Experiência com arquiteturas e serviços em nuvem AWS (ex.: Amazon Bedrock);
  •  Vivência em projetos com grande volume de dados no segmento de energia / óleo e gás;

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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