ZipRecruiter

Log In

1

Computer Science Degree Jobs in Ontario (NOW HIRING)

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical / Aerospace Engineering . * High attention to ...

ATS Automation

Software Developer (Embedded)

Cambridge, ON · On-site

CA$600/day

A post-secondary engineering or computer science degree, diploma or equivalent with emphasis on software design and development. Experience: * 5+ years of professional software development experience ...

Ford Motor Company

Test Developer, Automation

Kanata, ON · Hybrid

CA$96K - CA$146K/yr

Education: Bachelor's degree in computer science, Computer Engineering, Electrical Engineering or related technical areas Experience: * 3-5 years of overall testing experience * 3+ years of ...

Td

Full Stack Data Science Engineer

Toronto, ON

CA$120K - CA$154K/yr

A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance ...

previous pagenext page

Showing results 21-40

All JobsComputer Science Degree JobsComputer Science Degree Jobs in Ontario

Computer Science Degree information

See Ontario salary details

$23.5K

$102.6K

$254.5K

How much do computer science degree jobs pay per year?

As of Aug 8, 2026, the average yearly pay for computer science degree in Ontario is $102,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $123,000.00 per year, depending on experience, location, and employer.

What can you do with a computer science degree?

A computer science degree prepares individuals for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages like Java, Python, or C++ and familiarity with tools such as databases and operating systems.

What is a computer science degree?

A Computer Science degree is an academic program that focuses on the study of computers, computational systems, and software. Students learn about programming, algorithms, data structures, computer hardware, software engineering, and theoretical concepts underpinning computing. Graduates are prepared for careers in software development, data analysis, cybersecurity, artificial intelligence, and many other technology-related fields. The degree can be earned at various levels, including associate, bachelor's, master's, and doctoral degrees.

What are the key skills and qualifications needed to thrive with a computer science degree, and why are they important?

To thrive with a Computer Science degree, a strong grasp of programming languages, algorithms, and data structures is essential, typically supported by a bachelor's degree in computer science or a related field. Familiarity with development tools, version control systems like Git, and certifications such as AWS Certified Developer or CompTIA Security+ are often beneficial. Problem-solving, analytical thinking, and effective teamwork are crucial soft skills that distinguish successful professionals. Mastering these skills enables individuals to efficiently design, implement, and maintain complex software solutions in diverse technical environments.

What is the difference between Computer Science Degree vs Software Developer?

AspectComputer Science DegreeSoftware Developer
Required CredentialsDegree in Computer Science or related fieldTypically requires programming skills, experience, and sometimes certifications
Work EnvironmentAcademic, research, or industry settingsTech companies, startups, or freelance projects
Industry UsageUsed as a qualification for various tech rolesPractical role focused on coding and software creation
Search & Comparison IntentUnderstanding educational requirements and career pathsJob qualifications and skills needed for software development

While a Computer Science Degree provides foundational knowledge and credentials, a Software Developer focuses on applying programming skills to build software. Many software developers have degrees in computer science, but practical experience and coding ability are equally important for the role.

What jobs can you do with a computer science degree?

A computer science degree qualifies individuals for a variety of roles including software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These jobs often require knowledge of programming languages, problem-solving skills, and familiarity with tools like Linux, Java, or Python.

Are computer science degree majors still in demand?

Computer science degree majors are currently in high demand due to the growth of technology industries, software development, data analysis, and cybersecurity. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong field for job opportunities.

What jobs does a computer science degree get you?

A computer science degree can lead to roles such as software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, often within technology or IT environments.

What types of entry-level roles are typically available to recent graduates with a computer science degree, and how do these roles support career growth?

Recent graduates with a Computer Science degree often start in roles such as software developer, QA engineer, IT support specialist, or data analyst. These positions provide hands-on experience with real-world projects, exposure to collaborative team environments, and an opportunity to work with various technologies. Early career roles typically include mentorship and training, allowing new professionals to build foundational skills, specialize in areas of interest, and progress toward more advanced positions like software architect, project manager, or data scientist over time.
What are popular job titles related to Computer Science Degree jobs in Ontario? For Computer Science Degree jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Degree jobs in Ontario look for? The top searched job categories for Computer Science Degree jobs in Ontario are:
Computer Science Degree jobs near you
Infographic showing various Computer Science Degree job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $102,643 per year, or $49.3 per hour.

Principal Data Scientist-Gen AI, Machine Learning (10042)

Extreme Networks

Toronto, ON

Full-time

Re-posted 12 days ago

Job description

Principal Data Scientist - (Gen AI, Machine Learning):
 
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.
 
This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.
There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.
Job Responsibilities
  • Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities
  • Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption
  • Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments
  • Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation
  • Represent the organization externally through publications, talks, and collaborations, strengthening the company's thought leadership in AI and ML
Requirements:
  • Degree in Computer Science, Mathematics, or a related field
  • 8+ years of experience in applied ML research and production deployment
  • 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production
  • Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production
  • Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems
  • Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP
  • Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact
Preferred Qualifications
  • MS or PhD in Computer Science, Machine Learning, or a related discipline
  • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse
  • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks
  • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply