Data Scientist II | Estratégia e Crédito

Develop, implement, and evolve predictive models for various use cases such as credit risk, churn, propensity, and revenue using machine learning and statistics. Build and enhance features for models by transforming raw data into relevant, reusable, and reliable variables. Construct reproducible data pipelines by writing clean and reliable code. Define and monitor model quality metrics including KS, AUC/Gini, precision, recall, uplift, and business impact.

Practical experience in developing predictive models using machine learning and statistics. Strong foundation in statistics and modeling, including validation, calibration, discrimination, and model stability. Proficiency in Python and major ML libraries such as Scikit-learn, XGBoost/LightGBM, and Pandas. Clear and proactive communication skills to report analysis progress, clarify doubts with the technical team, and present basic results objectively.

The company offers a fixed salary along with a variable compensation package that may include PLR, ILP, or commission based on eligibility. Health and dental insurance with co-participation, a virtual health service available 24/7, and a medication subsidy are included. Additional benefits such as meal or food vouchers, childcare assistance, life insurance, and home office support for hybrid or remote contracts are also provided.