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Application Deadline

11/14/2026

Address

33 Dundas Street West

Job Family Group

Data Analytics & Reporting

This is a hybrid 12 month contract role in Toronto

We are seeking a Staff Data Scientist who combines deep expertise in machine learning with strong software engineering skills and experience building and deploying production-grade ML solutions at scale. In this role, the candidate will leverage advanced machine learning, deep learning, and artificial intelligence techniques to develop models that analyze large volumes of structured and unstructured data, generating actionable insights and business value. The successful candidate will collaborate closely with data scientists, engineers, and analytics teams to optimize, refine, operationalize, and scale analytical solutions into robust, enterprise-grade products.The ideal candidate will also be a technical leader who can mentor team members, promote software engineering and MLOps best practices, improve code quality through design and code reviews, and help drive technical excellence across the team.

Mandatory Qualifications

• Deep understanding of machine learning and deep learning algorithms, including model development, validation, optimization, deployment, and

and monitoring.

• Experience building, deploying, and maintaining production-grade ML solutions at scale.
• Experience developing machine learning models, and evaluating emerging technologies and tools to deliver innovative data-driven solutions for business stakeholders.
• Strong software engineering fundamentals, including advanced Python development, algorithms, and data structures.
• Experience performing code reviews and promoting coding standards, software design principles, and engineering best practices.
• Hands-on experience with Git, GitHub, version control, and collaborative software development workflows.
• Strong communication and collaboration skills, with the ability to work effectively across data science, engineering, product, and business teams.

Preferred Qualifications (Nice to Have)

• Experience with AWS, SageMaker Unified Studio, lakehouse architectures, PySpark, feature stores, and MLOps platforms.
• Previous experience in banking, fintech, or other highly regulated industries.
• Technical leadership or people management experience, including mentoring and leading cross-functional teams.
• Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field. Research experience and publications at top-tier conferences such as NeurIPS, ICML, ICLR, KDD, or equivalent venues.