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Computational Mathematics Jobs in Ontario (NOW HIRING)

PhD in mathematics, applied mathematics, computational mathematics, or a closely related field. * Depth in at least two subdomains: numerical linear algebra, computational mechanics, computational ...

Position: Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab) Type: Contract Compensation: $70-$90/hour Location: Remote Commitment: 15-20 hours/week Role ...

Position: Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab) Type: Contract Compensation: $70-$90/hour Location: Remote Commitment: 15-20 hours/week Role ...

Position: Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab) Type: Contract Compensation: $70-$90/hour Location: Remote Commitment: 15-20 hours/week Role ...

Mathematics, Physics, Engineering, Computer Science, or similar) with a strong interest in computational and softwaredriven problem solving * Proficiency in at least one of our core languages: Python ...

Assessing the development and deployment of computational modelling tools and capability for ... An Engineering / Energy / Physics / Mathematics related bachelor's degree, or equivalent in a ...

Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics or related fields * 3+ years of applicable work experience in ML * Hands-on ...

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Computational Mathematics information

See Ontario salary details

$20.5K

$84.6K

$174.5K

How much do computational mathematics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computational mathematics in Ontario is $84,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $120,000.00 per year, depending on experience, location, and employer.

How do computational mathematicians typically collaborate with other professionals on interdisciplinary projects?

Computational mathematicians often work closely with professionals from fields such as engineering, computer science, physics, and data science to tackle complex, real-world problems. Collaboration usually involves translating mathematical models into algorithms, developing simulations, and analyzing large datasets. Effective communication is key, as computational mathematicians must explain technical concepts to team members with varying expertise. These interdisciplinary projects provide opportunities to broaden your skill set and contribute to innovative solutions across industries, from finance to healthcare.

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

To thrive as a Computational Mathematician, you need a strong background in mathematics, numerical analysis, and computer science, often supported by an advanced degree in mathematics or a related field. Proficiency with programming languages like Python, MATLAB, or C++, and familiarity with specialized mathematical software and high-performance computing systems are typically required. Analytical thinking, problem-solving, and effective collaboration are essential soft skills for addressing complex computational challenges. These skills and qualities are crucial for developing accurate models, solving real-world problems, and advancing research or industrial applications.

What is the difference between Computational Mathematics vs Data Scientist?

AspectComputational MathematicsData Scientist
Required CredentialsMathematics, Computer Science degrees, often with advanced courseworkStatistics, Computer Science, or related degrees, often with data analysis certifications
Work EnvironmentResearch labs, academia, tech companies focusing on algorithm developmentBusiness, tech firms, healthcare, analyzing large datasets
Employer & Industry UsageResearch institutions, universities, R&D departmentsTech companies, finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding technical roles involving algorithms and modelingAnalyzing data to inform business decisions

Computational Mathematics focuses on developing algorithms, mathematical models, and simulations, often in research or academic settings. Data Scientists analyze large datasets to extract insights and support decision-making in various industries. While both roles require strong analytical skills, Computational Mathematics emphasizes theoretical and algorithmic development, whereas Data Science centers on practical data analysis and visualization.

What do computational mathematicians do?

Computational mathematicians develop and apply mathematical models, algorithms, and numerical methods to solve complex scientific, engineering, and data analysis problems. They often work with computer simulations, programming languages, and software tools to analyze large datasets and optimize processes across various industries.

What are popular job titles related to Computational Mathematics jobs in Ontario?

For Computational Mathematics jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Computational Mathematics jobs in Ontario look for?

The top searched job categories for Computational Mathematics jobs in Ontario are:

Infographic showing various Computational Mathematics job openings in Ontario as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $84,623 per year, or $40.7 per hour.

Computational Mathematician - Fully Remote | Upto $70/hr

Mercor

Toronto, ON โ€ข Remote

CA$70/hr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Mathematics PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role Responsibilities

  • Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
  • Write scientific prompts based on sourced inputs.
  • Build grading criteria to define correct answers.
  • Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

  • PhD in mathematics, applied mathematics, computational mathematics, or a closely related field.
  • Depth in at least two subdomains: numerical linear algebra, computational mechanics, computational finance.
  • Working proficiency in Python for scientific computing.
  • Comfortable with Git/GitHub and running code in Docker.

Preferred

  • Publications in peer-reviewed journals.
  • Prior scientific software or research engineering experience.

Start Date

  • Immediate

Interview Process

  • Upload your resume and application form.
  • A 25-minute conversational interview covering your background, experience, and motivations.
  • Follow up within a few days with next steps and onboarding.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.