Cientista de Dados Sênior Mlops (Bilingue - Espanhol)

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Accountabilities: - Lead the credit risk modeling workstream for the Argentinean operation, defining technical approaches and recommending appropriate modeling strategies. - Develop application score and behavioral score models throughout the entire lifecycle, from data preparation and exploratory analysis to model development, validation, and final implementation. - Extract, transform, and analyze datasets using SQL and Python to identify relevant patterns, assess data quality, and prepare modeling features. - Apply statistical methods and machine learning techniques to build, compare, and optimize predictive models, including classification, regression, and clustering approaches where appropriate. - Perform feature selection, evaluate model assumptions, and identify the variables that contribute most effectively to credit risk prediction. - Validate model performance and stability before deployment, ensuring that the selected approaches meet business requirements and relevant risk assessment standards. - Monitor deployed models over time, tracking performance, stability, and alignment with expected outcomes. - Identify performance degradation and recommend model recalibration, redevelopment, or other corrective actions when necessary. - Document modeling methodologies, assumptions, validation results, limitations, and recommendations in a clear and structured manner. - Present analytical findings, model performance assessments, and strategic recommendations to credit and ri

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