Analista de Dados e IA Pleno | Presencial | São Paulo/SP
Core
Build, calibrate, and validate machine learning models to transform large data volumes into actionable insights for business decision-making in credit, collection, and customer relationship areas.
Role type
Mid-level Machine Learning Engineer (Data Science)
Builds
Production-ready predictive models and data-driven solutions for business units
Domain
Financial services / Machine Learning
Deliverable
production ML models
Required skills
Python (pandas, NumPy, scikit-learn), SQL, Supervised Machine Learning (Logistic Regression, Gradient Boosting), Statistical Testing, Model Validation (AUC, KS, Gini, PSI), Git
Preferred skills
AWS, MLOps (MLflow), Generative AI (LLMs, RAG), Data Visualization (Tableau, Power BI), Process Automation (n8n)
Responsibilities
Develop ML models for business problems; Calibrate and validate models ensuring reliable predictions; Conduct predictive tests, backtests, and shadow mode evaluations; Monitor models in use for performance degradation; Analyze large data volumes to generate actionable insights; Support AI and automation initiatives; Document models and analyses clearly
Seniority
Mid-level, hands-on IC
