Senior Data Scientist

Requisitos

• Five or more years of professional experience in data science, applied statistics, econometrics, forecasting, or a related field
• Strong practical experience developing forecasting or predictive-modeling solutions
• Advanced Python and SQL skills
• Strong knowledge of regression, time-series methods, feature engineering, residual analysis, and uncertainty estimation
• Experience designing rolling or time-based backtests and preventing data leakage

Desejáveis

• Experience developing scenario-planning or decision-support tools
• Experience working with small historical samples or significant changes in underlying data patterns
• Familiarity with Microsoft Fabric, Azure, MLflow, or comparable cloud-based analytics platforms
• Experience productionizing forecasting models and implementing ongoing performance monitoring
• Experience presenting analytical findings to Finance or senior leadership