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Computer Science Research Assistant Jobs in Ontario

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Build analytical tools to supplement our shared research framework. Requirements * BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative ...

Research & Development : You will read research papers (established work and state-of-the-art) to ... Progress towards a PhD or Master's degree in Statistics, Computer Science, Applied Mathematics ...

Maintain the laboratory and equipment in a functional state to provide necessary services * Assist ... PhD in Physics/Electrical Engineering/Materials Science & Engineering * Required Skills * Proven ...

Research Scientist, World Models

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Research Scientist, Neural Reconstruction

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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Computer Science Research Assistant information

See Ontario salary details

$15K

$64.4K

$147K

How much do computer science research assistant jobs pay per year?

As of Jun 12, 2026, the average yearly pay for computer science research assistant in Ontario is $64,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $76,000.00 per year, depending on experience, location, and employer.

Is it better to shut down or sleep?

For a Computer Science Research Assistant, shutting down a computer completely saves power and reduces wear on components, while sleep mode allows for quicker resume times and maintains open files. The choice depends on usage patterns; frequent short breaks may favor sleep, whereas longer periods of inactivity are better for shutdown. Both options are safe and commonly used in research environments to manage system performance and energy consumption.

What is a good inexpensive computer to buy?

For a Computer Science Research Assistant, a budget-friendly computer such as a Chromebook or entry-level Windows laptop with at least 8GB RAM and an SSD can handle basic coding, data analysis, and research tasks. Prioritizing a device with a reliable processor and sufficient storage ensures smooth performance for research activities and programming environments.

What is a Computer Science Research Assistant job?

A Computer Science Research Assistant supports professors or researchers in conducting experiments, analyzing data, and developing software or algorithms. They may assist with literature reviews, coding, debugging, or testing to advance research projects. The role often involves working with programming languages, machine learning, cybersecurity, or other specialized topics. It provides valuable experience for students or professionals looking to deepen their knowledge in the field.

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

To thrive as a Computer Science Research Assistant, you need strong analytical skills, proficiency in programming languages (such as Python, Java, or C++), and a solid understanding of algorithms and data structures, usually evidenced by coursework or a relevant degree. Familiarity with research tools, version control systems (like Git), and possibly certifications in data analysis or machine learning are advantageous. Excellent problem-solving abilities, attention to detail, and effective written and verbal communication help individuals excel when collaborating on research projects. These competencies enable you to support rigorous research, contribute to innovative solutions, and work efficiently as part of an academic or industry research team.

What are typical duties and daily responsibilities of a Computer Science Research Assistant?

As a Computer Science Research Assistant, your daily responsibilities often include assisting with data collection and analysis, developing or testing software prototypes, conducting literature reviews, and helping prepare reports or presentations for research findings. You may also collaborate closely with faculty, graduate students, or industry partners, contributing to coding tasks, experimental setups, and troubleshooting technical issues as they arise. The role frequently involves both independent problem-solving and teamwork, providing a supportive environment to deepen technical skills and gain hands-on research experience. This position is an excellent opportunity to develop your research portfolio, learn advanced computing concepts, and prepare for potential graduate study or specialized tech careers.

What is the best home computer to buy?

As a Computer Science Research Assistant, selecting a reliable home computer depends on your workload; a high-performance PC or Mac with a multi-core processor, at least 16GB of RAM, and SSD storage is recommended for coding, data analysis, and research tasks. Consider your specific needs for software compatibility and upgradeability when choosing a model.

What is the definition of a computer?

A computer is an electronic device that processes, stores, and retrieves data according to programmed instructions. Computer Science Research Assistants often work with hardware and software components, understanding how computers perform calculations and manage information. Knowledge of computer architecture and programming languages is essential for analyzing and developing computing systems.
What are popular job titles related to Computer Science Research Assistant jobs in Ontario? For Computer Science Research Assistant jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computer Science Research Assistant jobs in Ontario look for? The top searched job categories for Computer Science Research Assistant jobs in Ontario are:
What cities in Ontario are hiring for Computer Science Research Assistant jobs? Cities in Ontario with the most Computer Science Research Assistant job openings:
Infographic showing various Computer Science Research Assistant job openings in Ontario as of June 2026, with employment types broken down into 1% As Needed, 63% Full Time, 29% Part Time, 4% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $64,379 per year, or $31 per hour.
Senior Data Scientist - Operation Research

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Toronto, ON โ€ข On-site, Remote

Full-time

Posted 18 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.