Data Science & AI
Dorval, Québec, CA, H4S 1Y9
R
CAD 71K-106K (estimate) Mid-level Full Time
Tasks
- Apply privacy security lineage explainability bias and audit controls
- Build and validate machine learning models
- Build classification and risk models
- Communicate assumptions limitations trade offs and recommendations
- Develop document intelligence and RAG solutions
- Develop feature engineering training validation scoring pipelines
- Develop forecasting and inventory optimization solutions
- Establish analytical baselines and performance measures
- Evaluate models with cross validation back testing uncertainty analysis
- Integrate models into production workflows
- Operationalize models with MLflow and monitoring
- Profile and validate governed enterprise data
- Translate business challenges into analytics problems
Perks/Benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Life insurance
- Medical insurance
- Retirement savings plan
- Tele Health Program
Skills/Tech-stack
Apache Spark | Backtesting | Calibration | Cross-validation | Data Governance | Data Lineage | Data Privacy | Data handling | Databricks | Drift Detection | Human review | Imbalanced Data | Imbalanced Data Handling | MLflow | Model Explainability | Model Monitoring | Model retraining | NLP | NumPy | Pandas | PySpark | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Uncertainty Analysis
Education
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