Data Scientist

CloudWalk
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