Data Scientist II | Estratégia e Crédito

Responsibilities

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

Requirements

• Practical experience in developing predictive models with ML and statistics
• Strong foundation in statistics and modeling (validation, calibration, discrimination, and model stability)
• Fluency in Python and main ML libraries (Scikit-learn, XGBoost/LightGBM, Pandas)
• Clear and proactive communication to report progress and present results objectively

Preferred Qualifications

• Experience with credit, risk, or financial services
• Mastery of SQL and experience with large data volumes (Spark, Databricks, BigQuery)

Benefits

• Fixed salary and variable compensation package (PLR, ILP, or Commission)
• Health and dental insurance with co-participation
• 24/7 virtual hospital/telemedicine team
• Medication subsidy
• Meal and/or food vouchers
• Daycare assistance for children up to 5 years and 11 months
• Assistance for children with disabilities
• Life insurance
• Fuel or displacement assistance
• Home office assistance
• Emotional support (Acolhe360º)
• Education benefits via internal platform