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Day 5
Early. Similar jobs usually come down between day 6 and day 69.
From 4,347 similar postings that came down. Coming down is not always a hire.
Staff Data Scientist
Reads like a ML Engineer role: putting models into production.
Toronto, ON, CAN
Actively hiring, first seen by us 5 days ago- Pay
$80,000–175,000/yearAnnual period assumed — pay source
Salary: $80,000.00 - $175,000.00 Pay Type:
Read the full posting- Work setting
Hybrid — work setting source
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.
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop ML and deep learning models on large structured and unstructured data
Operationalize and scale analytical solutions into enterprise-grade products
Mentor team members and promote software engineering and MLOps best practices
Improve code quality through design and code reviews
From the employer’s posting
develop models that analyze large volumes of structured and unstructured data
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
What you’ll bring
All qualificationsCore experience
- Deep understanding of ML and deep learning, from validation to deployment and monitoring
- Experience building and maintaining production-grade ML solutions at scale
- Advanced Python development, algorithms and data structures
- Experience performing code reviews and promoting coding standards
- Hands-on experience with Git, GitHub and collaborative development workflows
Qualification wording
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
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
Education & alternatives
- 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. - Typically 5-7 years of relevant experience and a post-secondary degree in a related field of study, or an equivalent combination of education and experience.
About Bank of Montreal
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 20265 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Bank of Montreal is hiring
33 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 12% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- SageMaker
- PySpark
Where the posting names them
- 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.
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.
Your next step
Complete your application on bmo.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Application Deadline:
Address:
33 Dundas Street WestJob Family Group:
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.
Typically 5-7 years of relevant experience and a post-secondary degree in a related field of study, or an equivalent combination of education and experience.
Salary:
Pay Type:
The above represents BMO Financial Group’s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.
BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
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.
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.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary: $80,000.00 - $175,000.00 Pay Type:
- Location & working pattern
Toronto, ON, CAN
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.