Data Scientist

• Develop predictive Machine Learning models aligned with the needs of the product teams;
• Test new models using experiments and A/B tests;
• Study and implement appropriate performance evaluation metrics;
• Analyze large datasets to extract relevant insights;
• Research and propose new modeling methodologies compatible with the project;
• Maintain continuous communication with interfacing areas to keep all stakeholders informed;
• Propose studies and impact indicators related to business health and member success;
• Monitor the model lifecycle, including deployment, performance metric monitoring, and governance;
• Act as a promoter of data science, sharing and expanding knowledge and fostering the organization’s data culture;
• Collaboration, strong communication skills, and multidisciplinary teamwork;
• Proactivity and curiosity to learn new technologies.

Mid-level Data Scientist – Focus on Card Payment Terminals

Cientista de Dados – Foco em Crédito

Senior Data Scientist