Analyst, Data Science & AI
Dorval, Québec, CA, H4S 1Y9
CAD 71K-106K (estimate) Mid-level Full Time
Tasks
- Apply privacy security lineage and audit controls for AI
- Build and validate predictive models
- Build feature engineering training validation scoring pipelines
- Build forecasting and inventory optimization solutions
- Develop classification and risk models
- Develop document intelligence and RAG solutions
- Establish analytical baselines and business performance measures
- Explore and profile governed enterprise data
- Integrate models into production workflows and user experiences
- Maintain model documentation validation evidence and monitoring plans
- Operationalize models with ML lifecycle automation
- Translate business problems to data science use cases
- Translate business requirements into technical designs
Perks/Benefits
- Employee assistance program
- Flexible and hybrid work policies
- Insurance plans
- Retirement savings plan
- Tele Health Program
Skills/Tech-stack
Azure | Backtesting | Calibration | Cross-validation | Data Governance | Data Lineage | Databricks | Drift Detection | Explainability | Imbalanced Data | Imbalanced Data Learning | Incident Response | Language Processing | MLflow | Model Monitoring | Model retraining | Natural Language | Natural Language Processing | NumPy | Pandas | Privacy Compliance | PySpark | Python | RAG evaluation | Retrieval-Augmented Generation | SQL | Scikit-learn | Security controls | Spark | Uncertainty Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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