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Operations Research Jobs in Toronto, ON (NOW HIRING)

Clio

Senior R&D Operations Specialist

Toronto, ON · On-site +1

Summary: Summary We are seeking a Senior R&D Operations Specialist to help scale the operating systems, planning rhythms, and cross-functional coordination that enable Clio's Product, Design ...

Humber River Health

Research Associate

Toronto, ON

CA$49.91 - CA$62.43/hr

Manager, Research Operations THE BASICS Are you excited by the thought of shaping the future of healthcare in Canada? Do you want to join a growing team which aims to make transformative changes to ...

Humber River Health

Research Associate

Toronto, ON

CA$49.91 - CA$62.43/hr

Manager, Research Operations THE BASICS Are you excited by the thought of shaping the future of healthcare in Canada? Do you want to join a growing team which aims to make transformative changes to ...

City of Toronto

RESEARCH ANALYST 1

Toronto, ON · On-site

CA$51.58/hr

Transportation Services, Operations & Maintenance Work Location: 40 Toryork Drive Job Type ... Provides research, analysis, reporting, and administrative support related to divisional operations ...

Reach3 Insights

Associate Research Director

Toronto, ON · Hybrid

CA$95K - CA$120K/yr

Operations process & fulfillment / contractor resources, * Proposal and methodological templates ... Reach3's next Associate Research Director will bring: * An aspiration to be a strategic market ...

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Operations Research information

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How much do operations research jobs pay per year?

As of Aug 25, 2026, the average yearly pay for operations research in Toronto, ON is $86,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,260.00 and $106,408.00 per year, depending on experience, location, and employer.

What is operations research?

Operations research is a discipline that uses advanced analytical methods, such as mathematical modeling, statistics, and algorithms, to help organizations solve complex problems and make better decisions. Professionals in this field analyze data and systems to optimize processes, improve efficiency, and reduce costs. Operations research is applied in various industries, including logistics, manufacturing, healthcare, and finance, to support strategic planning and operational improvements.

What are the qualifications to get a job in operations research?

The qualifications to get a job in operations research typically include a bachelor’s degree and strong technical and mathematical skills. Data science, statistics, applied math, and engineering are all good subjects to study in college. It is also useful to have a working knowledge of the specific industry in which you work, such as logistics and delivery, healthcare, or business. More complex positions often require advanced degrees. In addition to these formal qualifications, programming experience with R or other statistical software and strong analytical skills are essential.

What are the key skills and qualifications needed to thrive as an operations research analyst, and why are they important?

To thrive as an Operations Research Analyst, you need strong quantitative analysis, mathematical modeling, and problem-solving skills, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages (such as Python or R), advanced Excel, and optimization software like CPLEX or Gurobi is often required. Outstanding communication, critical thinking, and teamwork abilities help translate complex data insights into actionable recommendations for stakeholders. These skills ensure effective analysis, informed decision-making, and successful implementation of solutions in complex organizational environments.

What are some typical challenges faced by professionals in operations research, and how can they be addressed?

Operations Research professionals often encounter challenges such as working with incomplete or imperfect data, translating complex mathematical models into actionable business solutions, and communicating technical findings to non-technical stakeholders. Successfully addressing these challenges involves collaborating closely with subject matter experts, utilizing robust data validation techniques, and developing strong communication skills to clearly convey results and recommendations. Additionally, staying updated on the latest optimization tools and methodologies can help streamline problem-solving processes.

What is the difference between Operations Research vs Data Analyst?

AspectOperations ResearchData Analyst
Required CredentialsBachelor's or master's in operations research, industrial engineering, or related fieldsBachelor's or master's in statistics, mathematics, or data science
Work EnvironmentAnalytical teams, consulting firms, manufacturing, logisticsBusiness, finance, marketing, technology sectors
Employer & Industry UsageSupply chain, transportation, manufacturing, governmentRetail, finance, healthcare, tech companies
Common Search & ComparisonOperations Research vs Data Analyst

Operations Research and Data Analysts both analyze data to improve decision-making, but Operations Research focuses on complex optimization and modeling for large systems, while Data Analysts interpret data trends for business insights. Their roles often overlap but serve different strategic purposes in organizations.

Does operations research pay well?

Operations research analysts typically earn competitive salaries, with median pay above the national average for all occupations. Salaries vary based on experience, education, industry, and location, and professionals often use analytical tools and quantitative skills to solve complex problems. Advanced degrees and certifications can lead to higher compensation.

What can I do with an operations research degree?

An operations research degree prepares individuals for roles such as operations analyst, supply chain manager, or data analyst, focusing on optimizing processes and decision-making using mathematical modeling and analytical tools. Graduates often work in industries like manufacturing, logistics, finance, and consulting, utilizing skills in statistics, programming, and problem-solving to improve efficiency and reduce costs.

What does an operations researcher do?

An operations researcher analyzes complex systems and processes to improve efficiency and decision-making using mathematical models, statistics, and optimization techniques. They often work with data analysis tools and develop algorithms to solve problems in logistics, supply chain, manufacturing, and other operational areas.
More about Operations Research jobs

What are the most commonly searched types of Operations Research jobs in Toronto, ON?

The most popular types of Operations Research jobs in Toronto, ON are:

What are popular job titles related to Operations Research jobs in Toronto, ON?

For Operations Research jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Operations Research jobs in Toronto, ON look for?

The top searched job categories for Operations Research jobs in Toronto, ON are:

Operations Research jobs near you
Infographic showing various Operations Research job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $86,974 per year, or $41.8 per hour.

Quantitative Research Analyst

Toronto, ON

Waterfront International Ltd
See more jobs at Waterfront International Ltdexternal

Full-time

Re-posted 21 hours ago

Job description

We are currently looking for highly talented individuals with a history of exceptional academic and/or industry achievement who are interested in working in a fast paced, stimulating and dynamic environment.

Primary Responsibilities:

  • Develop, modify, optimize, test and implement real time quantitative trading models and strategies.
  • Perform statistical analysis of historical and current financial market data.
  • Research strategies in equities, futures, fixed income, and other asset classes.
  • Generate new indicator ideas.

Requirements:

  • PhD or Masters in Mathematics, Statistics, Physics or Operations Research.
  • Must possess expert level C/C++ programming skills.
  • Incredibly strong problem solving and analytical skills.
  • Time series analysis and statistical modeling experience.
  • Some financial experience desired but not required.
  • Must be a strong self-starter and able to work well independently.

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