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Operations Research Optimization Jobs in Toronto, ON

Reviewing, extending, and optimizing prototype solutions; * Collaborating with the engineering team ... TECHNOLOGY AND OPERATIONS * Job Type: Regular * Pay Type: Salaried * Posted Date: 2026-06-23

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Working closely with the SEO Manager / Senior Manager, you'll be the operational backbone of the ... , research, and reporting, and help build and maintain workflow automations alongside the SEO ...

Research Associate

Toronto, ON

CA$49.91 - CA$62.43/hr

Clinical Excellence, Optimizing Care through Technology and Community Connection frame our Research ... Manager, Research Operations THE BASICS Are you excited by the thought of shaping the future of ...

Research Associate

Toronto, ON

CA$49.91 - CA$62.43/hr

Clinical Excellence, Optimizing Care through Technology and Community Connection frame our Research ... Manager, Research Operations THE BASICS Are you excited by the thought of shaping the future of ...

Contribute to the design of scalable MLOps/DevOps pipelines for model deployment, monitoring, and ... Experience running inference on large models using vLLM or similar optimized serving frameworks.

... managing and optimizing production; executing projects that involve the scale-up of process ... BA/BSc in business, statistics, operations research, data science, data analytics, or related ...

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Operations Research Optimization information

What is the difference between Operations Research Optimization vs Data Analyst?

AspectOperations Research OptimizationData Analyst
Required CredentialsDegree in Operations Research, Industrial Engineering, or related fields; often certifications in optimization toolsDegree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentAnalytical teams in manufacturing, logistics, or consulting firmsBusiness or corporate settings, focusing on data interpretation and reporting
Industry UsageSupply chain, transportation, manufacturing, logisticsFinance, marketing, healthcare, retail
Common Search/ComparisonOperations Research Optimization vs Data Analyst

Operations Research Optimization focuses on developing mathematical models to improve decision-making processes, often in logistics and manufacturing. Data Analysts interpret and visualize data to support business decisions. While both roles analyze data, Operations Research Optimization emphasizes optimization techniques and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Operations Research Optimization jobs in Toronto, ON look for? The top searched job categories for Operations Research Optimization jobs in Toronto, ON are:
Infographic showing various Operations Research Optimization job openings in Toronto, ON as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Toronto, ON โ€ข Remote

Full-time

Re-posted 11 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve Pricing techniques.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.