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Computer Science Jobs in Toronto, ON (NOW HIRING)

Bachelor's or Master's in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) Condition of Employment: As a condition of employment and in order to comply with ...

Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field (Masters degree is an asset). * Proven experience building and deploying computer vision or video ...

Data Scientist III

Toronto, ON · On-site

CA$96K - CA$136K/yr

Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science); graduate's degree preferred with progressive work experience * 5+ years of relevant ...

CAD Technician

Richmond Hill, ON · On-site

CA$60K - CA$65K/yr

An Associate of Applied Science Degree/diploma in drafting OR Bachelor's degree in electrical or ... A minimum three (3) to five (5) years' experience working in a CAD Specialist position or the ...

D. degree in a quantitative discipline with a data science, statistical modelling, machine learning, AI, optimization, or computer science focus preferred. * Machine learning, data science, AI ...

Data Scientist II

Toronto, ON

CA$81K - CA$115K/yr

Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science); graduate's degree preferred with progressive work experience * 3+ years of relevant ...

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Computer Science information

See Toronto, ON salary details

$19.1K

$64.5K

$134.6K

How much do computer science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science in Toronto, ON is $64,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,605.00 and $89,707.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a Computer Science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.
What are the most commonly searched types of Computer Science jobs in Toronto, ON? The most popular types of Computer Science jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Computer Science jobs? Cities near Toronto, ON with the most Computer Science job openings:
Data Scientist

Full-time

Posted 7 days ago


Job description

Xplore Inc. is Canada’s fibre, 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living, for today and future generations.

As a Data Scientist at Xplore, you will play a key role in developing and deploying data-driven solutions that support business growth, customer retention, and operational efficiency. You will work on impactful projects such as churn prediction, upsell targeting, and network optimization, applying advanced analytics and machine learning techniques to solve real-world problems.
This role is ideal for someone who is passionate about turning data into actionable insights, enjoys hands-on modeling, and wants to grow their expertise in a collaborative environment.

Key responsibilities include:

  • Develop and implement predictive and prescriptive models like:
    • Customer churn and retention strategies
    • Upsell and cross-sell opportunity scoring
    • Product coverage estimation and optimization
  • Perform feature engineering, model training, validation, performance tuning, and deployment using advanced ML techniques
  • Collaborate with cross-functional teams (marketing, sales, operations, care, product) to translate business requirements into data science solutions
  • Support model deployment and monitoring in production environments
  • Conduct exploratory data analysis and provide insights to inform business decisions
  • Document methodologies and ensure reproducibility of work
  • Stay current with emerging tools and techniques in machine learning and analytics

The ideal candidate will possess:

  • 3–5+ years of experience in applied data science or machine learning
  • Hands-on experience with predictive modeling, time-series forecasting, and statistical analysis
  • Proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
  • Extensive experience with SQL and data manipulation in large datasets
  • Experience with cloud platforms and distributed computing
  • Strong problem-solving and analytical skills
  • Ability to communicate technical concepts to non-technical stakeholders
  • Familiarity with A/B testing and experimentation frameworks is a plus
  • Experience with end-to-end project ownership including deployment is an asset
  • Bachelor’s or Master’s in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering)

Condition of Employment:

As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.

Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.