Data Scientist
Cambridge, Ontario, Canada; Toronto, Ontario, Canada
CAD 64K-114K Mid-level Full Time
Tasks
- Assess solution validity against business constraints
- Build automated data pipelines
- Build predictive analytics models
- Communicate results to stakeholders
- Deploy machine learning models to production
- Develop machine learning and AI solutions
- Gather business requirements with stakeholders
- Integrate machine learning models into claims functions
- Perform feature engineering
- Retrieve and prepare data for modeling
- Support actuarial pricing and loss estimation approaches
- Support feature store and automated feature development
- Validate model performance
Perks/Benefits
- Disability insurance
- Extended health and dental benefits
- Paid time off
- Recognition and Perk Programs
- Retirement plan matching
Skills/Tech-stack
Artificial Intelligence | Azure | BERT | CI/CD | Classification | Clustering | Databricks | Dynamic Programming | Embeddings | Feature Engineering | Feature Store | GAM | GLM | Gradient boosting | Hugging Face | Integer Programming | Language Models | Language Processing | Large Language Models | LightGBM | Linear Programming | MLOps | MLflow | Machine Learning | Model Governance | Model Monitoring | Natural Language | Natural Language Processing | Optimization | PySpark | Python | RAG | Regression | SHAP | SQL | Tweedie | XGBoost
Education
Roles
Regions
Countries
States
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