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Computational Statistics Jobs in Ontario (NOW HIRING)

Mercor

Computational Statistics Expert - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

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 ...

Mercor

Computational Statistics Expert - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

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 ...

Premier Research

Excellent analytical, computational, judgement and decision-making ability * Strong fundamental understanding of statistical concepts, statistical analysis techniques and Integrated Quality Risk ...

Autodesk

Senior Applied AI/ML Developer

Toronto, ON · On-site

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 ...

Mcgill

Faculty of Science Computational and Data Systems Institute (CDSI) 1-year contract. Position ... Compile statistics and data for inclusion in reports; update documentation both in print and online.

Mcgill

Faculty of Science Computational and Data Systems Institute (CDSI) 1-year contract. Position ... Compile statistics and data for inclusion in reports; update documentation both in print and online.

Scotiabank

Economist, Provincial

Toronto, ON · On-site

Apply a wide range of econometric, statistical, and computational tools to analyze economic trends, policy impacts, and thematic issues to generate data-driven insights. * Trade and other topical ...

Bmo

Machine Learning Engineer

Toronto, ON · On-site

CA$82K - CA$154K/yr

Runs tests, performs statistical analysis, and interprets test results. * Focus is primarily on ... Computational Thinking and Programming. * Deep Learning. * Machine Learning. * Scaling Models.

PepsiCo

PepsiCo Supply Chain Co-Op Fall 2026

Cambridge, ON · On-site

CA$21.25 - CA$37/hr

... and computational analyses within the production and operations areas of our facilities ... Learn various statistical modelling and developing reporting tools * Learn to manage production ...

PepsiCo

PepsiCo Supply Chain Co-Op Fall 2026

Ottawa, ON

CA$21.25 - CA$37/hr

... and computational analyses within the production and operations areas of our facilities ... Learn various statistical modelling and developing reporting tools * Learn to manage production ...

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All JobsComputational Statistics JobsComputational Statistics Jobs in Ontario

Computational Statistics information

See Ontario salary details

$25.5K

$98.2K

$179.5K

How much do computational statistics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computational statistics in Ontario is $98,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $131,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computational statistician?

To thrive as a Computational Statistician, you need a solid background in statistics, mathematics, and computer science, usually supported by at least a master's degree in a related field. Expertise in programming languages such as R or Python, experience with statistical software, and familiarity with data management tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for designing robust statistical models, extracting actionable insights from complex datasets, and supporting data-driven decision-making.

What are the common challenges faced by professionals in computational statistics, and how can they be addressed?

Professionals in computational statistics often encounter challenges such as managing large, complex datasets, ensuring computational efficiency, and translating statistical findings into actionable insights for non-technical stakeholders. Addressing these challenges typically involves staying updated with the latest software tools, collaborating closely with data engineers and domain experts, and continuously improving communication skills to explain technical results clearly. Proactively seeking opportunities for cross-functional teamwork and ongoing professional development can also help computational statisticians navigate these complexities and advance in their careers.

What is the difference between Computational Statistics vs Data Scientist?

AspectComputational StatisticsData Scientist
Required CredentialsDegree in Statistics, Mathematics, or related fieldDegree in Computer Science, Statistics, or related field
Work EnvironmentResearch labs, academia, data analysis teamsTech companies, consulting firms, diverse industries
Employer & Industry UsageAcademic institutions, research organizations, analytics teamsBusiness, technology, finance, healthcare
Common Search & Comparison IntentUnderstanding specialized statistical modeling and algorithmsBroader data analysis, machine learning, and business insights

Computational Statistics focuses on developing and applying statistical algorithms and models using computational methods, often emphasizing theoretical foundations. Data Scientists utilize these techniques along with programming and data manipulation skills to extract insights from large datasets across various industries. While there is overlap, Computational Statistics is more research-oriented, whereas Data Science covers a broader range of data analysis tasks.

What is computational statistics?

Computational statistics is a field within data analysis that uses algorithms, programming, and computer-based methods to process and interpret large datasets. It involves techniques such as simulation, optimization, and statistical modeling, often utilizing tools like R or Python. Professionals in this area develop and implement computational methods to solve complex statistical problems efficiently.

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

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

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

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

Computational Statistics jobs near you
Infographic showing various Computational Statistics job openings in Ontario as of August 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $98,232 per year, or $47.2 per hour.

Computational Statistics Expert - PhD

Mercor

Toronto, ON • Remote

CA$70 - CA$90/hr

Full-time

Posted 7 days ago

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: 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 Responsibilities

  • Design challenging computational problems using specialized statistical, mathematical, or scientific software packages.
  • Evaluate AI's ability to compute reproducible numerical answers and carry out complex workflows.
  • Develop problems requiring strategic planning for information discovery and efficient problem-solving.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Work independently and asynchronously to refine problem designs based on feedback.

Qualifications

Must-Have

  • Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
  • Proven proficiency with at least one specialized software package through research publications or professional work.
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple computational domains or specialized software packages.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

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.