Data Scientist leading the development and deployment of advanced ML models for fraud prevention at Topaz, focusing on innovative and reliable financial solutions.
Responsibilities
At Topaz, you will be responsible for leading the development and deployment of advanced models that drive large-scale fraud prevention.
Design, train, and validate machine learning models using advanced algorithms.
Conduct experiments to test new approaches, tune hyperparameters, and evaluate metrics such as FPR and recall.
Collaborate with MLOps engineers to build robust pipelines that ensure model scalability in production environments.
Monitor model performance in production, identifying potential degradation or opportunities for continuous improvement.
Update models with new data to ensure they remain relevant in the face of changing fraudulent behavior.
Implement explainability techniques to make models transparent and aligned with applicable regulations.
Explore new technologies, frameworks, and algorithms to keep the solution at the forefront of fraud detection.
Contribute to the establishment of best practices and technical standards within the team.
Requirements
Experience in machine learning, data science, or software development focused on ML-based solutions.
Hands-on experience developing and deploying advanced models, including supervised, unsupervised learning, and deep learning.
Experience leading technical projects or multidisciplinary teams. To join our team, we are looking for professionals with solid experience and strong technical knowledge in data engineering.
Benefits
Health and wellbeing: Because we care about our teams, we offer various health plans focused on promoting wellbeing within the organization.
Personal and professional development: We are constantly evolving. For this reason, we provide environments, programs, and policies that ensure the space and opportunities you need 🎓 Career path.
Flexibility and time off: Here you'll find the time needed to recharge, and you can enjoy a day off on your birthday 🥳 Hybrid work arrangement.
Corporate partnerships and discounts: We offer a range of partner programs and employee discounts.
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