Research Scientist Salary in Canada during 2024

Salary details

The average Research Scientist salary lies between USD 96,643 and USD 190,000 in Canada. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Top 20 Job Tags for Research Scientist roles

The three most common job tag items assiciated with Research Scientist job listings are Research, Machine Learning and Python. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Research | 1861 jobs Machine Learning | 1526 jobs Python | 1406 jobs PhD | 1210 jobs Computer Science | 1208 jobs Engineering | 1089 jobs Deep Learning | 867 jobs PyTorch | 784 jobs NLP | 756 jobs Physics | 672 jobs Computer Vision | 659 jobs NeurIPS | 641 jobs LLMs | 603 jobs Statistics | 559 jobs ICLR | 546 jobs Mathematics | 542 jobs ICML | 538 jobs TensorFlow | 518 jobs Architecture | 486 jobs VR | 471 jobs

Top 20 Job Perks/Benefits for Research Scientist roles

The three most common job benefits and perks assiciated with Research Scientist job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 1499 jobs Health care | 1020 jobs Equity / stock options | 1002 jobs Conferences | 938 jobs Salary bonus | 622 jobs Flex vacation | 395 jobs Medical leave | 375 jobs Insurance | 354 jobs Parental leave | 343 jobs Flex hours | 329 jobs 401(k) matching | 303 jobs Competitive pay | 303 jobs Startup environment | 264 jobs Team events | 230 jobs Flexible spending account | 188 jobs Wellness | 172 jobs Transparency | 88 jobs Relocation support | 79 jobs Unlimited paid time off | 49 jobs Fitness / gym | 39 jobs

Salary Composition for AI/ML/Data Science Research Scientist Roles

In Canada, the salary composition for AI/ML/Data Science Research Scientists can vary significantly based on factors such as region, industry, and company size. Typically, the salary package is composed of:

• Base Salary: This is the fixed component and usually constitutes the majority of the total compensation. In tech hubs like Toronto or Vancouver, the base salary might be higher compared to other regions due to the cost of living and demand for talent.

• Bonus: Many companies offer performance-based bonuses. These can be annual or quarterly and are often tied to individual, team, or company performance metrics. The bonus can range from 5% to 20% of the base salary, depending on the company and industry.

• Equity or Stock Options: Particularly in startups or tech companies, equity can be a significant part of the compensation package. This offers potential long-term financial benefits if the company performs well.

• Other Benefits: These might include health insurance, retirement contributions, and other perks like professional development funds, which can add substantial value to the overall compensation package.

Steps to Increase Salary from This Position

To increase your salary beyond the median of USD 117,000, consider the following strategies:

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as deep learning, natural language processing, or computer vision, which are in high demand and can command higher salaries.

• Pursue Leadership Roles: Transitioning into a lead or managerial role can significantly increase your earning potential. This might involve managing a team of data scientists or leading a project.

• Continuous Learning and Upskilling: Stay updated with the latest technologies and methodologies in AI/ML. Attending workshops, conferences, and pursuing advanced certifications can enhance your skill set and marketability.

• Negotiate Effectively: When offered a new position or during performance reviews, negotiate your salary and benefits package. Research industry standards and be prepared to articulate your value to the organization.

Educational Requirements

Most AI/ML/Data Science Research Scientist positions require:

• Advanced Degrees: A Master's degree in Computer Science, Data Science, Statistics, or a related field is often the minimum requirement. A Ph.D. is highly preferred, especially for research-intensive roles, as it demonstrates a deep understanding of complex algorithms and methodologies.

• Strong Mathematical Foundation: Proficiency in mathematics, particularly in areas like linear algebra, calculus, and probability, is crucial for developing and understanding machine learning models.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile:

• Certified Machine Learning Professional (CMLP): This certification demonstrates a comprehensive understanding of machine learning concepts and applications.

• TensorFlow Developer Certificate: This is beneficial for those working with TensorFlow, a popular machine learning framework.

• AWS Certified Machine Learning – Specialty: This certification is valuable for roles involving cloud-based machine learning solutions.

Required Experience

Typically, employers look for:

• Relevant Work Experience: At least 3-5 years of experience in data science or machine learning roles. Experience in research, either in academia or industry, is highly valued.

• Project Experience: Demonstrated experience in handling end-to-end machine learning projects, from data collection and preprocessing to model deployment and evaluation.

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