Data Scientist
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 94K-144K Entry-level Full Time
Tasks
- Build automated evaluation and measurement frameworks
- Build dashboards for decision-making
- Communicate technical findings and provide mentorship
- Conduct LLM red teaming and bias detection
- Create and manage data models and schemas
- Deliver analytics and reporting with metrics
- Design and maintain ETL/ELT pipelines
- Design evaluate and deploy RAG pipelines
- Design scalable operating processes for analytics and AI delivery
- Develop, train, and evaluate machine learning models
- Implement data acquisition and dataset documentation
- Integrate and test LLMs with Azure AI services
- Productionize pipelines with monitoring and data quality checks
Perks/Benefits
- Dental insurance
- Employee assistance program
- Health insurance
- Hybrid work arrangement
- Mental health support
- Paid time off
- Retirement savings plan
- Vision insurance
- Wellness benefits
Skills/Tech-stack
AI Search | AI Services | Alerting | Azure | Azure AI | Azure AI Search | Azure AI Services | Azure Machine Learning | Clustering | Data Modeling | Data Quality | Data Visualization | Databricks | Decision Trees | ELT | ETL | Embeddings | Faiss | Fine Tuning | Java | Kubernetes | Langchain | Machine Learning | MongoDB | Monitoring | Neo4j | OpenAI API | PCA | Power BI | Pretraining | Python | Qlik | RAG | Regression | SQL | Semantic Kernel | Semantic Search | Statistical Analysis | Survival analysis | Synthetic data | Tableau | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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