Cientista de Dados (Pleno a Sênior)

Conduct advanced data analyses to generate strategic insights. Develop machine learning, deep learning, and NLP models applied to business problems. Build and maintain data pipelines (ETL/ELT), ensuring quality and scalability. Implement monitoring and evaluation of models for accuracy and performance.

Advanced proficiency in Python for data analysis and model development. Solid experience with SQL for data manipulation and analysis. Practical experience with machine learning and deep learning in a production environment. Knowledge of NLP and experience with analytical frameworks and libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.

The company offers 100% subsidized medical assistance for employees and dependents, dental assistance, meal or food allowance without deductions, life insurance, private pension, Gympass, stock purchase options at a discount, pharmacy discounts, childcare assistance, and extended maternity and paternity leave.