Senior Data Scientist
CAN, Ontario, Toronto, 250 Bloor Street East, Canada
R
CAD 129K-179K Senior-level Full Time
Tasks
- Apply machine learning algorithms
- Apply statistical modeling
- Conduct model risk management
- Define analytical approaches
- Define model strategies
- Design experiments
- Develop AI assistants
- Develop RAG solutions
- Develop reusable experimentation approaches
- Document analytical choices
- Evaluate AI models
- Guide AI experimentation
- Implement agentic workflows
- Lead analytics initiatives
- Lead generative AI initiatives
- Lead machine learning initiatives
- Mentor junior data scientists
- Perform AI evaluation
- Prepare business cases
- Support AI model governance
- Support responsible AI
- Transform datasets into recommendations
- Translate results into business recommendations
- Validate models
Perks/Benefits
- Dental insurance
- Employee assistance program
- Health insurance
- Hybrid work arrangement
- Life insurance
- Long-term disability
- Mental health benefits
- Paid time off
- Retirement savings plan
- Short-term disability
- Vision insurance
- Wellness benefits
Skills/Tech-stack
Autogen | Azure | CrewAI | Data Analysis | Data Storytelling | Data Visualization | Data Wrangling | Databricks | Embeddings | Experiment design | Exploratory Data Analysis | Generative AI | Git | Knowledge Retrieval | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Evaluation | Model Governance | Model Monitoring | Model Risk Management | Model risk | Privacy | Prompt engineering | Python | R | Responsible AI | Retrieval-Augmented Generation | Risk Management | SQL | Security | Semantic Kernel | Semantic Search | Statistical modeling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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