
Manager, Data Science
- Toronto, ON
- Permanent
- Temps-plein
- Lead the design and implementation of end-to-end ML pipelines for the development of a state-of-the-art supplier analytics platform
- Collaborate with cross-functional teams to identify business needs and develop innovative data-driven solutions that drive measurable impact.
- Conduct comprehensive analysis to extract actionable insights and provide strategic recommendations for business optimization and growth.
- Design and implement robust data infrastructure, following governance practices around data integrity and security.
- Mentor and provide guidance to data scientists, fostering a collaborative environment for knowledge sharing and skill development.
- Stay updated with industry trends, emerging technologies, and best practices in machine learning, AI, LLMs, and data science.
- 5 years of hands-on experience in building and deploying machine learning and AI pipelines in a commercial environment.
- Experience with cloud-based data platforms (AWS, GCP preferred) and related services (Airflow, Sagemaker, Vertex AI).
- Proficiency with Python libraries like TensorFlow, PyTorch, scikit-learn.
- Advanced to expert knowledge of SQL.
- Proven track record of delivering successful data-driven solutions that have driven tangible business outcomes.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
- Experience with clustering algorithms and recommender systems.
- Knowledge of software engineering practices and version control systems.
- Master's or Ph.D. in STEM or related field.
- Experience leveraging LLMs to build or improve data models and pipelines.