Senior Data Scientist
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Job Description
Senior Data Scientist at Montreal improving AI in education. Focused on reducing student dropout and preventing financial fraud.
Responsibilities:
- Develop and implement machine learning models to estimate student dropout probability, enabling early interventions.
- Build fraud prevention workflows and anomaly detection for financial transactions of School Funds (Caixas Escolares), consuming data directly via bank/internal APIs.
- Work from data extraction and preprocessing in the Data Lake through to deploying models to production.
- Translate complex insights into dashboards and reports for public-sector managers without technical backgrounds.
- Document developed solutions and support monitoring, error handling, and ongoing maintenance.
Requirements:
- Completed higher education (technologist, bachelor's, and/or postgraduate degrees) in Information Technology.
- Proven track record in Data Science projects, preferably focused on fraud detection, anomaly detection, or financial risk analysis.
- Advanced proficiency in Python (Pandas, scikit-learn, XGBoost/LightGBM) and advanced SQL.
- Experience with Microsoft Fabric and Azure Machine Learning (Notebooks, Synapse, MLflow).
- Experience consuming REST APIs and integrating data from multiple sources.
- Ability to understand business pain points (education/public administration) and propose the best technical solution.
Benefits:
- Position also open to candidates with disabilities (PwD).
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