Data Scientist
Sun Life Toronto One York, Canada
CAD 78K-128K (estimate) Entry-level Full Time
Tasks
- Apply descriptive predictive and machine learning methods
- Build analytics use cases
- Build data pipelines using AWS Glue
- Create technical design artifacts
- Develop machine learning and data science products
- Develop statistical model evaluation approaches
- Manage multiple projects with changing priorities
- Perform feature engineering model training and model evaluation
- Present findings to stakeholders
- Translate business goals into analytical problems
- Use AWS SageMaker for training and deployment
- Use SQL for data extraction and integration
- Write PySpark queries for data processing
Perks/Benefits
Skills/Tech-stack
APIs | AWS | AWS Glue | AWS Lambda | AWS Step Functions | Amazon SageMaker | Big Data | CI/CD | Causal Inference | Data Warehousing | Docker | ETL | Embedding Models | Feature Engineering | Fine Tuning | Hypothesis Testing | LLM APIs | Language Processing | Machine Learning | Microservices | Model Evaluation | Model Training | Natural Language | Natural Language Processing | Prompt engineering | PySpark | Python | RAG | SQL | Step Functions | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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