Data Scientist Pleno a Sênior

Job description

Esta é uma vaga de um cliente da GeekHunter, candidate-se para ter acesso às informações completas sobre a empresa.

In This Team, You Will Have The Opportunity To

  • Be immersed in an incredible culture which is our main asset along with our people.
  • Contribute to the development of innovative Artificial Intelligence and Machine Learning products.
  • Collaborate with a multidisciplinary team to integrate ML models into our products.
  • Design and implement Machine Learning models to solve complex problems.
  • Implement efficient and scalable machine learning algorithms.
  • Maintain and improve existing systems with a focus on efficiency and scalability.
  • Actively participate in the startup's strategy, product, and culture.

Mandatory Requirements

  • Over 3 years of hands-on experience with Machine Learning and Data Science.
  • Knowledge of Deep Learning techniques.
  • Strong command and practical experience in Python and related libraries (such as Pandas, Scikit-learn, TensorFlow, PyTorch).
  • Knowledge of cloud services (AWS, Azure, GCP).
  • Ability to implement, validate, and interpret complex ML algorithm results.
  • Mastery of fundamental concepts of data science and statistics.
  • Research and analysis skills to tackle unstructured problems.
  • Solid knowledge in software engineering, including software design, testing, and debugging.
  • Strong understanding of software engineering principles and best practices.
  • Familiarity with version control (Git) and agile methodologies.

Desirable Qualifications

  • Experience with Reinforcement Learning and its practical applications.
  • Interest in learning and applying new technologies and methodologies.
  • Experience with continuous integration and continuous delivery (CI/CD) systems.

Habilidades Obrigatórias

  • Data science
  • Machine learning

Habilidades Desejáveis

  • Arquitetura de software
  • AWS
  • Google Cloud
  • Python
  • Inteligência artificial
  • Modelagem matemática
  • Modelagem estatística
  • Spark

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