Data Scientist

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CloudWalk

πŸ“Remote - Brazil

Summary

Join CloudWalk's Risk Team as a Data Scientist and play a crucial role in developing and optimizing machine learning models to detect and prevent fraud. You will analyze data, build predictive models, and implement data-driven strategies to enhance risk management processes. This position requires bridging theoretical data science with practical, scalable solutions in fintech, focusing on risk assessment and mitigation. You will handle large-scale datasets, extract insights, and develop sophisticated algorithms to protect CloudWalk's ecosystem. The role involves working autonomously within a fully remote and distributed team, requiring strong collaboration and self-motivation. Excellent communication skills in English and Portuguese are essential.

Requirements

  • Fluency in Python and SQL
  • Proficiency in ML libraries like Scikit, PyTorch, TensorFlow, etc
  • Experience with cloud-based services like the Google Cloud platform
  • Solid Data Visualization skills to create charts and dashboards
  • Strong analytical skills, ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Detail-oriented with a strong research mindset
  • Ability to complete tasks autonomously, being highly collaborative and self-driven
  • Communication skills. Ability to communicate effectively with multiple teams
  • Ability to communicate and debate in English and Portuguese

Responsibilities

  • Develop and optimize machine learning models to detect and prevent fraud
  • Analyze data and build predictive models
  • Implement robust data-driven strategies to enhance risk management processes
  • Handle large-scale datasets and extract meaningful insights
  • Develop sophisticated algorithms to protect the ecosystem

Preferred Qualifications

  • Experience with financial or payment industry
  • Knowledge of distributed systems and parallel computing
  • DevOps practices: Understanding DevOps practices, including continuous integration, continuous deployment, and containerization

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