- Toronto, Ontario, Canada
- Hybrid
- Full-time · Mid
- CA$75K–CA$85K per year
- 3+ years
Designs, develops, and deploys machine learning models and scalable data solutions to support advanced analytics and omnichannel marketing initiatives for Klick's clients.
Compensation
The base salary range for this position is between CAD $75,000 - $85,000.
Responsibilities
- Design, build, and optimize data architectures, ETL pipelines, and feature engineering workflows using Python and SQL
- Develop, train, evaluate, and deploy machine learning models using libraries such as scikit-learn, TensorFlow, or PyTorch
- Process and analyze clickstream datasets and other large-scale data sources while maintaining and optimizing enterprise data warehouses and data lakes
- Collaborate with data engineers, analysts, project managers, and client stakeholders to gather business requirements and deliver data-driven recommendations
- Establish and document reproducible machine learning and data engineering workflows
Requirements
- Master's degree or Ph.D. in Data Science, Machine Learning, Computer Science, Statistics, or a related quantitative discipline
- Nice to have: AI enthusiasm
- Nice to have: healthcare, pharmaceutical, life sciences, media, advertising, or agency environments
- Nice to have: Power BI or comparable business intelligence platforms