Analista de Desenvolvimento de Software Jr.

Support the extraction, organization, and analysis of data from various sources for fraud prevention studies and solutions. Contribute to data preparation and feature engineering for building analytical models. Participate in the development, training, validation, and evolution of machine learning models applied to biometrics/liveness and fraud detection.

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related fields. Knowledge of SQL for data extraction, manipulation, and analysis. Experience with statistical modeling and machine learning. Familiarity with data preparation, analytical exploration, and feature engineering.

The company offers a collaborative environment focused on personal and professional growth, with a commitment to building an inclusive culture. Employees can balance their careers with personal commitments, ensuring well-being.