ZipRecruiter

Log In

1

Math Research Jobs in Ontario (NOW HIRING)

Future Secure AI

Bachelor's degree in Mathematics, Data Science, Statistics, Computer Science or a related discipline * 10+ years of experience delivering complex technical or research programmes, with at least 3 ...

Magna

Environmental Program Engineer

Milton, ON

CA$84K - CA$93K/yr

Analyze complex data, math, research and analytical skills. * Able to apply knowledge and skills to the detection and solution of general technical problems; operate required measuring instruments ...

Royal Bank of Canada

Research Analyst

Toronto, ON

In the role of Research Analyst, you will be part of the Investment Strategy team that sits within ... Commerce, Finance, Economics, Mathematics, Engineering etc.) * More than five years of experience ...

Td

Research Machine Learning Scientist

Toronto, ON · On-site

CA$140K - CA$250K/yr

PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field * Strong background in machine learning and deep learning * 2+ years of research experience with ...

Td

Research Machine Learning Scientist II

Toronto, ON · On-site

CA$140K - CA$190K/yr

PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field * Strong background in machine learning and deep learning * 3+ years of research experience with ...

THOMSON REUTERS

Lead Research Engineer

Toronto, ON · On-site +1

Familiarity with probabilistic models and have an understanding of the mathematical concepts ... in research and engineering fields * Previous exposure to Natural Language Processing (NLP ...

next page

Showing results 1-20

All JobsMath Research JobsMath Research Jobs in Ontario

Math Research information

See Ontario salary details

$9

$28

$59

How much do math research jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for math research in Ontario is $28.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $34.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Math Research position, and why are they important?

To thrive in Math Research, you need advanced mathematical knowledge, strong analytical abilities, and a graduate degree (often a Ph.D.) in mathematics or a related field. Commonly used tools include programming languages such as Python or MATLAB, mathematical modeling software, and statistical analysis packages. Exceptional problem-solving, perseverance, and effective communication skills help researchers articulate complex findings and collaborate across disciplines. These skills ensure rigorous, innovative research that advances understanding and delivers real-world impact.

What types of projects do professionals in Math Research typically work on?

Math Research professionals often focus on solving theoretical problems, developing new mathematical models, or applying mathematics to fields like data science, engineering, or finance. Projects can range from pure mathematical theory to practical applications such as optimizing algorithms, analyzing big data, or designing statistical tests. Researchers frequently work within academic, governmental, or private sector teams, collaborating with other scientists, engineers, or subject matter experts. This interdisciplinary approach allows for both independent and group work, providing opportunities for creative problem-solving and continuous learning.

How much do math researchers get paid?

Math researchers' salaries vary depending on experience, education, and location, but they typically earn between $60,000 and $120,000 annually. Academic positions often pay less than industry roles, which may offer higher compensation and additional benefits. Advanced skills in programming and data analysis can also influence salary levels.

How to become a math researcher?

To become a math researcher, typically a strong foundation in mathematics through a bachelor's degree is required, followed by advanced study such as a master's or Ph.D. in a specialized area of mathematics. Developing research skills, engaging in academic projects, and publishing findings are essential, along with proficiency in mathematical tools and software like LaTeX and MATLAB.

What are the top 5 math careers that pay well?

Math research careers that tend to pay well include data scientists, quantitative analysts, actuarial scientists, operations research analysts, and financial analysts. These roles often require strong analytical skills, proficiency in programming and statistical tools, and advanced degrees such as a master's or Ph.D. in mathematics or related fields.

What does a math researcher do?

A math researcher investigates mathematical theories, principles, and problems to develop new knowledge or solutions. They often work in academic, government, or private research settings, using tools like mathematical modeling, statistical analysis, and computer programming to conduct experiments and publish findings.

What is a Math Research job?

A Math Research job involves studying mathematical theories, solving complex problems, and developing new mathematical models. Researchers may work in academia, government, or industry, applying advanced math to fields like physics, finance, cryptography, or data science. They often publish papers, collaborate with other scientists, and contribute to theoretical or applied mathematics.

What are the most commonly searched types of Math Research jobs in Ontario? The most popular types of Math Research jobs in Ontario are:
What are popular job titles related to Math Research jobs in Ontario? For Math Research jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Math Research jobs in Ontario look for? The top searched job categories for Math Research jobs in Ontario are:
Math Research jobs near you
Infographic showing various Math Research job openings in Ontario as of July 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 82% In-person, 12% Hybrid, and 6% Remote job distribution, with an average salary of $59,228 per year, or $28.5 per hour.

Director, FSAI labs Research Delivery

Future Secure AI

On-site

Other

Re-posted 14 days ago

Job description

As FSAI Labs Program Lead, you will be the operational engine behind FSAI's applied research function. You will sit at the intersection of research and engineering, translating cutting-edge AI and machine learning work into structured, deliverable programmes that reach enterprise clients at scale.

This is a role for someone who understands how research actually works - the ambiguity, the iteration, the pivots - and who knows how to build the delivery rigour around it without killing the creative process.

Responsibilities

  • Research Programme Leadership: Own the end-to-end delivery of complex, cross-functional research programmes - from problem framing and hypothesis definition through to deployment - ensuring alignment with company strategy, client commitments, and research integrity
  • Roadmap and Planning: Define and maintain research delivery roadmaps in close collaboration with research scientists, engineering, and product leadership, sequencing work to balance exploratory investigation with commitments to ship
  • Cross-Functional Orchestration: Connect and coordinate research scientists, ML engineers, product managers, and client delivery teams, ensuring findings translate into working systems rather than sitting in notebooks
  • Risk & Dependency Management: Anticipate where research timelines are at risk - model performance, data availability, infrastructure constraints - and drive resolution before they become blockers
  • Process & Efficiency: Build lightweight, research-appropriate delivery processes that bring accountability and predictability without imposing rigid structure on inherently iterative work
  • Stakeholder Communication: Translate research progress, setbacks, and findings into clear, honest updates for technical and non-technical stakeholders, including at executive level
  • Strategic Influence: Shape how the organisation prioritises research investment, drawing on delivery data, client feedback, and emerging capability to inform what gets built next
  • Team Enablement: Give research teams the tooling, process support, and operational clarity they need to focus on the work that matters
  • Research-to-Product Pipeline: Manage the critical handoff between research output and production AI systems, ensuring models and findings are integrated into the core platform in a governed, scalable way

Minimum Qualifications

  • Bachelor's degree in Mathematics, Data Science, Statistics, Computer Science or a related discipline
  • 10+ years of experience delivering complex technical or research programmes, with at least 3 years in an AI or ML environment
  • Strong Data Science domain knowledge
  • Demonstrated ability to manage delivery in ambiguous, research-driven contexts where outputs are uncertain and timelines are estimates
  • Strong grasp of software development and research methodologies - Agile, Scrum, and the ability to adapt when standard frameworks don't fit
  • Exceptional communication skills, with the ability to hold a room with research scientists and C-suite stakeholders equally
  • Analytical and data-driven in how you make decisions and report progress
  • Experience with LLM-driven research or applied NLP is highly preferred
  • Familiarity with cloud platforms (AWS, Azure, or GCP)

Preferred Qualifications

  • Master's degree or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline
  • Hands-on familiarity with modern LLM ecosystems - LangChain, LlamaIndex, RAG pipelines, multi-agent frameworks, or GPT-based systems
  • Working knowledge of NLP techniques: transformers, topic modelling, supervised NLP, LSTMs
  • Python experience in a machine learning or research context
  • Prior experience as a research engineer, ML scientist, or technical lead before moving into delivery

Why Join Us?

  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

Apply