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Best Paying Computer Science Jobs in Ontario (NOW HIRING)

Scientific Games

Senior Data Scientist

Toronto, ON · On-site

Contribute to modeling standards, code quality, validation rigor, and experimentation best ... Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations ...

Klick Health

Data Engineer

Toronto, ON · Hybrid

D.) in Computer Science, Data Engineering, Data Science, or a related quantitative field ... We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Support best practices in model development, experimentation, documentation, and data governance ... Bachelor's degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Support best practices in model development, experimentation, documentation, and data governance ... Bachelor's degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science ...

Scientific Games

Staff Data Scientist

Toronto, ON · On-site

Build production-grade decision engines spanning player personalization, next-best-action systems ... Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations ...

Td

Data Scientist III

Toronto, ON

CA$96K - CA$136K/yr

... Computer Science); graduate degree preferred. * 5+ years of relevant experience in data science ... Experience with GitHub, Visual Studio Code, and version control best practices. * Experience ...

Mackenzie Financial Corporation

CA$49K - CA$51K/yr

Experience the best of both worlds with our hybrid work environment, where you spend three days a ... Currently enrolled in a post-secondary program in Data Science, Computer Science, Management ...

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Best Paying Computer Science information

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

What are the key skills and qualifications needed to thrive in a best paying computer science role?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.

What are common challenges faced by professionals in high paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What is the highest paying computer science job?

The highest paying computer science jobs are often executive roles such as Chief Technology Officer (CTO) or Chief Information Officer (CIO), or specialized roles like Software Engineering Managers and Data Science Directors. These positions typically require extensive experience, advanced technical skills, and leadership responsibilities, with salaries often exceeding $150,000 annually and reaching into the high six figures or more in some industries.

What are popular job titles related to Best Paying Computer Science jobs in Ontario?

For Best Paying Computer Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Best Paying Computer Science jobs in Ontario look for?

The top searched job categories for Best Paying Computer Science jobs in Ontario are:

What cities in Ontario are hiring for Best Paying Computer Science jobs?

Cities in Ontario with the most Best Paying Computer Science job openings:

Best Paying Computer Science jobs near you
Infographic showing various Best Paying Computer Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

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

Extreme Networks

Toronto, ON • On-site

Full-time

Re-posted 12 days ago

Key responsibilities

  • Define and drive the long-term data science and ML strategy to influence product direction and organizational priorities

  • Lead research initiatives in ML, GenAI, and Graph ML, and establish best practices for scalable adoption

  • Partner with engineering and product teams to align data science innovation with business goals

Job description

Senior 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.
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