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About the Role
We are seeking a Senior 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.
Responsibilities
- Develop models that analyze large volumes of structured and unstructured data, generating actionable insights and business value.
- Collaborate closely with data scientists, engineers, and analytics teams to optimize, refine, operationalize, and scale analytical solutions into robust, enterprise-grade products.
- 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.
Requirements
- Deep understanding of machine learning and deep learning algorithms, including model development, validation, optimization, deployment, 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.
Skills
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Python
- Git
- GitHub
- Version Control
- AWS
- SageMaker Unified Studio
- Lakehouse Architectures
- PySpark
- Feature Stores
- MLOps Platforms
Location
- 33 Dundas Street West
- Toronto
Work Type
- Hybrid
Experience Level
- Senior
- 5-7 years of relevant experience
Education Level
- Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
- Post-secondary degree in a related field of study
Salary/Compensations
- $80,000.00 - $175,000.00
Benefits
- Health insurance
- Tuition reimbursement
- Accident and life insurance
- Retirement savings plans
About the Company
- At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
- As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
- To find out more visit us at https://jobs.bmo.com/ca/en.
Equal Opportunity
- BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.