Data Scientist

2 semanas atrás


São Paulo, São Paulo, Brasil CloudWalk Tempo inteiro
About CloudWalk

CloudWalk is a leading fintech company leveraging AI to drive operational excellence. We're seeking talented individuals to contribute to shaping the future of technology.

About the Team

Our team focuses on building behavioral-based models and engaging in research-oriented projects. We see data science as a blend of science and craftsmanship, delivering solutions that exceed customer expectations. Collaboration is at the core of our team culture.

About the Role

As a Data Scientist, you'll focus on building, training, and optimizing machine learning models to solve business problems such as fraud detection. You'll be involved in every stage of the data science workflow, from exploratory data analysis and feature engineering to model deployment and post-production monitoring.

Responsibilities
  • Design, develop, and deploy machine learning models for fraud detection and behavioral analysis.
  • Collaborate with cross-functional teams to integrate models into production.
  • Research and implement new machine learning algorithms and techniques.
  • Monitor the performance of models in production, optimizing them for scalability and efficiency.
  • Stay up-to-date with the latest trends in machine learning and data science.
Requirements
  • Experience in building and deploying machine learning models.
  • Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Ability to work with LLMs.
  • Experience with cloud-based environments like GCP.
  • Experience in using data pipelines for model training and inference.
  • Knowledge of statistical techniques and model evaluation metrics.
Nice to Have
  • Experience with Graph Neural Networks (GNNs) or other advanced deep learning architectures.
  • Experience in developing scalable data science solutions for real-time applications.
  • Knowledge of Google Cloud Platform (GCP) services for machine learning and model deployment.
  • Experience working on projects related to fraud detection, risk analysis in financial services.

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