Senior Data Science Analyst
Tasks
- Collaborate with domain experts to translate scientific questions into ML solutions
- Design end-to-end machine learning pipelines
- Develop predictive models for drug discovery
- Establish MLOps model versioning pipeline automation experiment tracking reproducible workflows
- Evaluate and integrate new ML techniques into research workflows
- Implement deep learning architectures for molecular property prediction
- Perform exploratory data analysis statistical modeling and visualization
- Present model performance and methodologies to technical and non technical stakeholders
Perks/Benefits
- Close access to transit
- Corporate discounts
- Flexible work environment
- HOOPP pension plan
- On-site gyms
- Opportunities for development and promotions
- UHN shuttle service
Skills/Tech-stack
Airflow | Data Analysis | Data Preprocessing | Data Visualization | Deep learning | Experiment tracking | Exploratory Data Analysis | Generative Models | Graph Neural Networks | Keras | MLOps | MLflow | Machine Learning | Model Evaluation | Model versioning | Neural Networks | NumPy | Pandas | PyTorch | Python | Reproducible Workflows | Scikit-learn | Statistical modeling | TensorFlow | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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