Senior Data Scientist - Portfolio

Collaborate on the design of complex analysis of datasets and the development and deployment of advanced machine learning algorithms for portfolio optimization and recommendations. Ensure solutions are robust and scalable while mentoring junior data scientists. Architect and optimize large-scale data processing workflows on cloud platforms such as Azure and Databricks.

Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related field; Master’s preferred. Demonstrated success applying machine learning techniques in production environments. Proficiency in Python and experience with distributed data processing (e.g., Spark/PySpark).

Performance-based bonus, attendance bonus, private pension plan, meal allowance, health, dental, and life insurance, childcare subsidies, and discounts on Ambev products.