
Senior Data Scientist
Posted May 6

Posted May 6
This is a fully remote position, open to applicants in Brazil.
• Design and execute machine learning models aimed at predicting student dropout rates, facilitating timely interventions.
• Establish fraud prevention mechanisms and anomaly detection for financial transactions related to School Funds (Caixas Escolares), utilizing data directly from bank and internal APIs.
• Manage the entire process from data extraction and preprocessing within the Data Lake to deploying models in a production environment.
• Convert complex data insights into user-friendly dashboards and reports for public-sector managers who may lack technical expertise.
• Maintain comprehensive documentation of developed solutions while providing support for monitoring, error management, and continuous maintenance.
• Completed higher education (technologist, bachelor's, and/or postgraduate degrees) in Information Technology.
• Demonstrated experience in Data Science initiatives, ideally with a focus on fraud detection, anomaly detection, or financial risk assessment.
• Advanced skills in Python (Pandas, scikit-learn, XGBoost/LightGBM) and proficiency in SQL.
• Familiarity with Microsoft Fabric and Azure Machine Learning (Notebooks, Synapse, MLflow).
• Experience in consuming REST APIs and integrating data from diverse sources.
• Capability to identify business challenges (in education/public administration) and suggest optimal technical solutions.
• Position also open to candidates with disabilities (PwD).
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