1

Operations Research Jobs in Ontario (NOW HIRING)

MSc or PhD in Computer Science, Machine Learning, Operations Research, Engineering, or related field * 3+ years of software development experience, track record of delivering commercial software

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 ...

Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics. * Programming proficiency with at least ...

Working closely with senior leadership, Finance, R&D, Product Development, and Operations, the Project Coordinator will coordinate project activities, collect and organize information from multiple ...

next page

Showing results 1-20

Operations Research information

See Ontario salary details

$26.5K

$91.1K

$175K

How much do operations research jobs pay per year?

As of Aug 6, 2026, the average yearly pay for operations research in Ontario is $91,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $111,500.00 per year, depending on experience, location, and employer.

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 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. Certifications in project management or data analysis can enhance career prospects.

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.

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 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.

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.

Does operations research pay well?

Operations research analysts typically earn competitive salaries, with median wages above the national average for many industries. Salaries vary based on experience, education, and location, and professionals often work with data analysis, optimization tools, and statistical software. Advanced skills and certifications can lead to higher compensation.

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 are the most commonly searched types of Operations Research jobs in Ontario? The most popular types of Operations Research jobs in Ontario are:
What job categories do people searching Operations Research jobs in Ontario look for? The top searched job categories for Operations Research jobs in Ontario are:
What cities in Ontario are hiring for Operations Research jobs? Cities in Ontario with the most Operations Research job openings:
Infographic showing various Operations Research job openings in Ontario as of July 2026, with employment types broken down into 82% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $91,135 per year, or $43.8 per hour.

Software Developer, Operations Research

Kinaxis Inc.

Kanata, ON • On-site, Remote

Full-time

PTO

Re-posted yesterday


Job description

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today's volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location

Ottawa and Toronto, Canada - HybridOther Canadian locations - Remote

About the team

Operations Research Software Developers at Kinaxis create algorithms to optimize supply chains. Each one of us plays an important part in accomplishing our work, building our culture, and making a global impact.

Every day, we are empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet - for each other, for our customers and for generations to come. Our cloud-based platform Maestro ensures that the products we need - everything from medicine and cars to day-to-day items like toothpaste - make it tomarket and into our hands when we need them with minimal ecological footprint. Our customers have terabytes of data that needs to be analyzed for the largest supply chains imaginable. Our algorithms move the global economy-- in seconds, not hours, or days. It's Big Data with an impact Gartner Report

Vacancy Status

This is an existing job vacancy

What you will do

Investigate novel techniques combining class leading heuristics with optimization Translate real world Supply Chain Management use cases into mathematical model Lead the design and implementation of the mathematical model Define test strategies and develop comprehensive test plans. Write unit testing, integration testing, and debugging to ensure robust and error-free software. Design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools. Collaborate closely with your agile team members and other stakeholders Shape the future direction of Kinaxis as we move into new markets

Technologies we use

C++ for core development Commercial mathematical solvers Maestro's market leading in-memory data server technology Visual Studio, JIRA, Confluence, Git Sophisticated internal testing tools to validate correctness and performance Virtual and cloud infrastructure for development, support and testing

Core implementation is primarily in C++, but we value strong algorithmic thinkers who are proficient in one or more modern programming languages (e.g., C++, C#, Python) and willing to work across language boundaries

What we are looking for

MSc or PhD in Operations Research, Industrial Engineering, Computer Science (or related) 3+ years of software development experience, track record of delivering commercial software Working knowledge of C++, including object-oriented design and design patterns, unit testing A love of data structures and algorithms, and the desire to apply them in the real world Experience in creating mathematical models of real-world optimization problems. Experience in commercial solvers (Gurobi, Xpress, CPLEX) Ability to design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools. Ability to find opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code- quality standards. Ability to review AI-generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation. Nice to have knowledge in machine learning models and algorithms Nice to have knowledge of Supply Chain Management (Demand Planning, MRP, S&OP, Capacity Planning)

#Intermediate, #LI-EM1

Work With Impact: Our platform directly helps companies power the world's supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we're committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

  • Flexible vacation and Kinaxis Days (company-wide days off)
  • Flexible work options
  • Physical and mental well-being programs
  • Regularly scheduled virtual fitness classes
  • Mentorship programs, training, and career development
  • Recognition programs and referral rewards
  • Hackathons

For more information, visit the Kinaxis website at www.kinaxis.com or the company's blog at http://blog.kinaxis.com.

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.

Employment Type: FULL_TIME