Cientista de Dados - Sede

Develop and implement data science solutions that transform business problems into smarter decisions and products, ensuring transparency and explainability in machine learning models. Manage and enhance the lifecycle of statistical and machine learning models, ensuring performance, reliability, documentation, and governance. Connect the needs of stakeholders, business, and operations to data and technology solutions, applying data science to support decisions, automate processes, and generate recommendations.

Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Information Technology, Economics, or related fields. Advanced proficiency in Python, SQL, PySpark, and Databricks for analytical solutions and complex models. Solid foundation in statistics, experimentation, and machine learning, including validation, explainability, and performance evaluation. Experience with Git, MLflow, and MLOps for versioning, deployment, monitoring, and evolution of models.

The company offers a comprehensive benefits package including health insurance with no co-payment, dental plan, assistance for undergraduate/postgraduate studies, reimbursement for financial certifications, private pension, semi-annual bonuses, and extended maternity/paternity leave.