Senior Data Scientist, Vice President
Toronto, Ontario, Canada
CAD 120K-170K (estimate) Senior-level Full Time
Tasks
- Advise internal audit on AI and data science adoption
- Align analytics solutions with audit methodology and workflows
- Architect evaluation validation and monitoring frameworks
- Define data strategy for AI use cases
- Define solution architecture and strategic direction
- Develop machine learning models for audit relevant insights
- Drive rapid prototyping and iterative delivery
- Embed controls by design into models and solutions
- Enable adoption through training documentation and integration
- Establish model interpretability and explainability best practices
- Lead end to end design of analytics and AI solutions for audit use cases
- Lead model governance for GenAI and LLM solutions
- Monitor data drift and model performance
- Own model lifecycle from development through deployment
- Own model selection and development framework
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon SageMaker | Data Drift | Data Drift Detection | Databricks | Drift Detection | Evaluation metrics | Experimentation | Feature Engineering | Generative AI | Human-in-the-loop | Language Models | Large Language Models | ML pipelines | Machine Learning | Model Explainability | Model Governance | Model Interpretability | Model Monitoring | Model Risk Management | Model Validation | Model risk | Pandas | Prompt engineering | PyTorch | Python | Risk Management | SQL | Scikit-learn | Spark | Statistical modeling | TensorFlow | The Loop
Education
Roles
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