Develop, train, and validate predictive and prescriptive models using Machine Learning algorithms and statistical techniques;
Perform exploratory data analysis (EDA) to identify patterns, opportunities, and trends;
Build and maintain structured, scalable data pipelines;
Clean, preprocess, and prepare large volumes of data from multiple sources;
Build and monitor performance metrics to evaluate deployed models;
Conduct statistical studies, simulations, and hypothesis testing to solve business problems;
Document processes, models, and methodologies developed;
Contribute to the continuous improvement of data policies, standards, governance, and data quality.

Degree in Data Science or a related field;
Hands-on experience with Python and ML libraries;
Proficiency in SQL and relational/non-relational databases;
Strong knowledge of applied statistics and regression/classification techniques;
Experience working with large volumes of data and structuring datasets;
Experience with Git and code versioning;
Familiarity with visualization tools (Power BI, Tableau, Looker);
Experience with Data Lakes, Data Warehouses, and modern data architectures;
Knowledge of natural language processing (NLP) and computer vision;
Experience with generative AI projects and large language models (LLMs);
Knowledge of MLOps, CI/CD, and model deployment;
Must reside in São Paulo.

Data Scientist

Key skills