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Computer Scientist Jobs in Ontario (NOW HIRING)

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Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer ... Role Data Scientists bridge the gap between raw data and predictive modelling. We believe ...

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred * 3+ years of experience analyzing product's data, building AI/ML algorithms or making product focused ...

Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and ...

Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and ...

Data Scientist

London, ON

CA$85K - CA$114K/yr

Master's Degree in Statistics, Data Science, Computer Science, or a related field * 4+ years of experience in SQL/Spark, R, Python * 4+ years of Experience building and applying machine learning or ...

MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience) * Hands-on experience with machine-learning and statistical ...

Join the Prep Academy Tutors Team Where Passion Meets Opportunity! At Prep Academy Tutors , we're on a mission to ignite the love of learning and help students achieve their fullest potential. We're ...

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 ...

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Computer Scientist information

See Ontario salary details

$34K

$99.3K

$144K

How much do computer scientist jobs pay per year?

As of Jul 4, 2026, the average yearly pay for computer scientist in Ontario is $99,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Scientist, and why are they important?

To thrive as a Computer Scientist, you need a strong background in mathematics, programming, and algorithm design, usually supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, C++), development tools, and version control systems is typically required, along with knowledge of specialized software or frameworks relevant to your area. Analytical thinking, problem-solving, and effective communication are crucial soft skills that help you collaborate and present complex ideas clearly. These skills and qualifications are important for developing innovative solutions, advancing technology, and working efficiently in multidisciplinary teams.

What are the jobs of a computer scientist?

A computer scientist designs, develops, and analyzes algorithms, software, and systems to solve complex problems. They often work in research, software development, data analysis, and cybersecurity, utilizing programming languages and computational theory. Their work may involve creating new technologies or improving existing ones, often requiring strong analytical and problem-solving skills.

What are computer scientists?

Computer scientists are professionals who study the theory, design, development, and application of computer systems and software. They work on solving complex problems using algorithms, programming languages, and computational methods. Their work can range from developing new technologies, improving cybersecurity, creating software, to researching artificial intelligence and machine learning. Computer scientists are employed in various industries, including tech companies, research institutions, government agencies, and academia.

What Does a Computer Scientist Do?

Computer scientists solve problems using technology. They write and program software, create applications for mobile devices, and develop websites. Their primary objectives are to validate and to develop mathematical models capable of computer interaction between people and other computers. They do this by running computer programs and improving computer processes and performance. Beyond working within theoretical frameworks, computer scientists can also research and focus in areas such as data structure and algorithms, information and database theory, software engineering, numerical analysis, computational complexity theory, computer graphics, programming language theory, and computer vision.

What would a computer scientist do?

A computer scientist researches, develops, and applies algorithms, software, and systems to solve complex problems. They may work on programming, data analysis, artificial intelligence, or cybersecurity, often using programming languages and tools to create innovative solutions. Their work can involve designing software, analyzing data, or improving computing processes.

How do computer scientists typically collaborate with other departments within an organization?

Computer scientists often work closely with teams from engineering, product management, data analytics, and IT to design, implement, and optimize technological solutions. Collaboration may involve participating in cross-functional meetings, providing technical expertise to inform business decisions, and integrating software systems with other platforms. Effective communication and teamwork are key, as computer scientists must translate complex technical concepts into actionable insights for non-technical colleagues. This collaborative environment not only broadens your professional network but also enhances your problem-solving skills through exposure to diverse perspectives.

What jobs can you do with computer science?

A computer scientist can work in roles such as software developer, data analyst, systems analyst, cybersecurity specialist, or research scientist. These jobs often require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems. Many positions are available in technology companies, research institutions, and various industries that rely on computing solutions.

Is computer science dead due to AI?

Computer scientists develop and improve AI technologies, making their role essential as AI advances. The field continues to evolve, requiring skills in algorithms, programming, and data analysis to address new challenges and applications.

What is the difference between Computer Scientist vs Software Engineer?

AspectComputer ScientistSoftware Engineer
Required CredentialsBachelor's or higher in CS or related field; often advanced degreesBachelor's or higher in CS, Software Engineering, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, software development firms, IT departments
Employer & Industry UsageUniversities, research institutions, tech companiesSoftware development companies, startups, large corporations
Common Search & Comparison IntentUnderstanding roles, career paths, and skillsJob requirements, responsibilities, and career growth

Computer Scientists focus on theoretical foundations, algorithms, and research, often working in academia or R&D. Software Engineers design, develop, and maintain software applications in industry settings. While both roles require strong programming skills and a background in computer science, their work environments and primary objectives differ.

What are the most commonly searched types of Computer Scientist jobs in Ontario? The most popular types of Computer Scientist jobs in Ontario are:
What are popular job titles related to Computer Scientist jobs in Ontario? For Computer Scientist jobs in Ontario, the most frequently searched job titles are:
Infographic showing various Computer Scientist job openings in Ontario as of June 2026, with employment types broken down into 83% Full Time, 10% Part Time, and 7% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $99,254 per year, or $47.7 per hour.

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

Ottawa, ON • Remote

Full-time

Posted 7 days ago


Job description

Company Description

An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.

The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.

    Job Description

    This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.

    What You'll Do:

    • Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content
    • Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines
    • Evaluate and rank AI-generated responses based on technical correctness and reasoning quality
    • Provide expert-level feedback to improve AI model performance and domain understanding
    • Support AI training initiatives by applying research, analytical thinking, and technical expertise

    This role is a strong fit for professionals with backgrounds in:

    • Computer Science
    • Software Engineering
    • Machine Learning
    • Cybersecurity
    • Distributed Systems
    • Computational Science
    • Information Theory
    • Quantitative Finance (highly preferred)
    • Statistics
    • Electrical & Computer Engineering
    • Technical Research or Academia
    Qualifications

    Requirements:

    • Native or fluent English communication skills (written and verbal)
    • PhD in Computer Science or a closely related technical field
    • Experience working as a software engineer, researcher, or in another highly technical or analytical role
    • Strong technical reasoning and attention to detail
    • Ability to assess complex AI-generated technical outputs with accuracy and consistency

    Nice to Haves:

    • Strong academic or industry research background
    • Experience reviewing technical content, publications, or research outputs
    • Familiarity with AI systems, large language models, or AI evaluation workflows
    • Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity

    Additional Information
    • Fully remote freelance opportunity with flexible working hours
    • Work is expected to begin immediately and continue through the end of June, with potential extensions
    • Compensation: Up to $150 USD per hour based on project participation
    • Weekly lump-sum payments issued for completed work tracked within the client platform
    • No guaranteed hours or task volume; work availability may vary weekly
    • Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
    • Selected candidates will receive onboarding instructions and platform access after acceptance
    • Candidates should not independently create an Outlier profile prior to onboarding