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Data Scientist

2 meses atrás

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

Welcome to CloudWalk, a pioneering fintech company harnessing the power of AI to drive operational excellence. We're on a mission to shape the future of technology, and we're seeking talented individuals to join our journey.

About the Team

Our team is dedicated to building innovative behavioral-based models and engaging in research-oriented projects that push the boundaries of expert systems. We believe in the fusion of science and craftsmanship, delivering solutions that exceed customer expectations through collaboration and a culture of learning from failures and celebrating successes.

About the Role

As a Data Scientist, you'll be responsible for designing, developing, and deploying machine learning models to solve complex business problems, such as fraud detection. You'll work closely with cross-functional teams to integrate models into production, research new algorithms, and optimize model performance for scalability and efficiency.

Responsibilities
  • Design and develop machine learning models for fraud detection and behavioral analysis
  • Collaborate with data engineers, product managers, and software engineers to integrate models into production
  • Research and implement new machine learning algorithms and techniques to improve existing models
  • Monitor model performance in production and optimize for scalability and efficiency
  • Stay up-to-date with the latest trends in machine learning and data science to drive innovation within the team
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
Interview Process

We'll be conducting an online technical assessment, technical interview, and cultural interview as part of our hiring process. If you're not willing to participate in the online quiz, please don't apply.

We value diversity in skills and backgrounds and believe in nurturing talent to reach its full potential. If you're passionate about data, algorithms, and applying research into real-world scenarios, we'd love to hear from you.