Cientista de Dados | Sênior

Develop predictive solutions to solve business problems using machine learning techniques. Define modeling approaches from exploratory analysis to model validation and deployment. Conduct experiments and select appropriate techniques for each context, ensuring solutions deliver measurable value to the organization.

Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields. Proficiency in Python and PySpark for handling large data volumes. Strong knowledge of statistics, probability, and predictive modeling techniques, including supervised and unsupervised models.

The position offers a hybrid work model with 3 days in the office per week. Candidates must reside in São Paulo. The company provides a comprehensive benefits package including health insurance, flexible meal allowances, and parental leave.