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Computer Science Education Jobs in Markham, ON (NOW HIRING)

... science and finance. Base Salary: $90,000-$120,000 CAD (subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements) Salary

Education & Experience * Bachelor's or Master's degree in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative field * 4-5 years of hands-on experience ...

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Computer Science Education information

What is computer science education?

Computer science education refers to the teaching and learning of the principles, concepts, and applications of computer science. It includes topics such as programming, algorithms, data structures, computer systems, and computational thinking. Computer science education can take place at various levels, from elementary school to higher education and professional development. Its goal is to equip students with the skills needed to understand and create technology, solve complex problems, and participate in a digital society.

What is the difference between Computer Science Education vs Computer Science Teacher?

AspectComputer Science EducationComputer Science Teacher
Required CredentialsTypically requires a degree in computer science or education, often with certification in teachingRequires a degree in computer science or related field, plus teaching certification
Work EnvironmentEducational institutions, online platforms, training programsSchools, colleges, educational institutions
Employer & Industry UsageEducational organizations, edtech companies, training providersPrimary schools, high schools, colleges
Common Search & ComparisonFocuses on curriculum development, programming skills, and educational methodsFocuses on classroom teaching, lesson planning, and student assessment

Computer Science Education generally refers to designing and delivering computer science curricula, often involving curriculum development and educational strategies. In contrast, a Computer Science Teacher primarily focuses on instructing students in computer science concepts within a classroom setting. Both roles require similar credentials but differ in their scope and work environment.

What are some common challenges faced by computer science educators in keeping course content current?

Computer science educators often face the challenge of rapidly evolving technology, which makes it necessary to regularly update course materials to reflect new programming languages, frameworks, and industry practices. Balancing foundational concepts with emerging trends can be difficult, especially given limited classroom time. Additionally, educators must ensure that updates remain accessible to students with varying levels of experience, while also integrating practical, real-world projects to keep students engaged.

What are the key skills and qualifications needed to thrive in computer science education?

To thrive in Computer Science Education, you need a solid background in computer science concepts, curriculum development, and typically a degree in computer science or education. Familiarity with programming languages, learning management systems (LMS), and educational technology tools is often required. Strong communication, patience, and the ability to inspire and engage students are critical soft skills. These skills and qualities ensure effective teaching, foster student understanding, and help bridge the gap between complex technical concepts and learners.
What job categories do people searching Computer Science Education jobs in Markham, ON look for? The top searched job categories for Computer Science Education jobs in Markham, ON are:
What cities near Markham, ON are hiring for Computer Science Education jobs? Cities near Markham, ON with the most Computer Science Education job openings:
Infographic showing various Computer Science Education job openings in Markham, ON as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Vice President, Data Scientist

BMO Capital Markets

Toronto, ON

CA$120K - CA$150K/yr

Full-time, Part-time

Medical, Life, Retirement

Re-posted 2 days ago


Job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Capital Mrkts Sales & Service

BMO Capital Markets is a leading, full-service North American-based financial services provider, withover 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services.BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North Americawith US$1.0 trillion total assets andapproximately 54,000 employees as of January 31, 2025.

About the Role

We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing advanced analytics and machine learning models to support algorithmic trading strategies, and drive business decisions in the front office, Investment Banking, and Corporate Banking. You will collaborate closely with business teams and other stakeholders to understand their data needs and provide insights that improve trading performance and profitability.

Our Team

The Data Cognition Team (DCT) at BMO Capital Markets delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units. Leveraging cutting-edge data and analytics technologies, we solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions.

Key Responsibilities

Develop and implement advanced analytics and machine learning models using techniques such as Generative AI, Deep Learning, and Reinforcement Learning.

Build predictive models for algorithmic trading across asset classes including Equities, Fixed Income, Commodities, and Foreign Exchange.

Collaborate with trading desks, investment banking teams, and corporate banking stakeholders to identify opportunities and optimize strategies.

Research and experiment with new machine learning techniques, including time series analysis, to improve trading performance and profitability.

Design and maintain reproducible machine learning pipelines for production environments.

Analyze large datasets to extract insights and support strategic decision-making.

Communicate complex technical concepts to non-technical stakeholders and present findings to senior management.

Visualize complex data clearly and concisely for business consumption.

Qualifications

Ph.D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance, economics, or operations research preferred).

Minimum 3 years of experience in data science or machine learning; experience in capital markets is a strong asset.

Proficiency in statistical modeling, time series analysis, and machine learning frameworks.

Strong programming skills (Python preferred) and experience with cloud technologies.

Familiarity with financial tools such as Bloomberg, FactSet, and Thomson Reuters is a plus.

Excellent problem-solving skills and ability to formulate hypotheses and learn from data.

Strong communication skills for effective collaboration with technical and business stakeholders.

Team-oriented, adaptable, and detail-focused with a results-driven mindset.

Nice to Have

Experience with Generative AI and advanced ML techniques.

Knowledge of investment banking concepts, trading strategies, and financial data formats.

Familiarity with MLOps tools and practices for model deployment and monitoring.

What We Offer

Join our dynamic team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using innovative technologies. We offer opportunities for professional growth, access to cutting-edge tools, and the chance to make a significant impact on critical business operations. Apply today with your resume, highlighting your relevant experience in data science and finance.

Base Salary: $120,000-$150,000 CAD

(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salary:

Pay Type:

Salaried

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.