Data Scientist II
Toronto, Ontario, Canada
R
CAD 100K-138K (estimate) Mid-level Full Time
Tasks
- Build and improve measurement and reporting processes
- Conduct code reviews and create technical documentation
- Define model performance indicators
- Design and deploy AI models and pipelines
- Develop forecasts metrics dashboards and recommendations
- Draw insights from large datasets
- Evaluate model performance using standard metrics
- Handle large datasets with distributed processing
- Perform data preprocessing and feature engineering
- Select and train machine learning models
- Solve business problems using data science
- Troubleshoot data pipeline development and deployment issues
- Write modular code and follow software practices
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Classification | Cloud platform | Cross-validation | Dashboards | Data Preprocessing | Data Visualization | Databricks | Drift Detection | Feature Engineering | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Evaluation | Model Monitoring | Model versioning | Python | Regression | SQL | Snowflake | Tableau | Time Series
Education
Roles
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