Applied Scientist Salary in Canada during 2024

Salary details

The average Applied Scientist salary lies between USD 127,200 and USD 200,000 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: Dec. 15, 2024

Top 20 Job Tags for Applied Scientist roles

The three most common job tag items assiciated with Applied Scientist job listings are Machine Learning, Python and Engineering. 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:

Machine Learning | 1084 jobs Python | 889 jobs Engineering | 832 jobs Research | 771 jobs Deep Learning | 746 jobs Statistics | 660 jobs LLMs | 636 jobs ML models | 632 jobs Computer Science | 555 jobs PhD | 554 jobs Java | 404 jobs NLP | 385 jobs Generative AI | 325 jobs AWS | 318 jobs SQL | 311 jobs PyTorch | 308 jobs TensorFlow | 300 jobs Testing | 299 jobs Mathematics | 265 jobs Computer Vision | 238 jobs

Top 20 Job Perks/Benefits for Applied Scientist roles

The three most common job benefits and perks assiciated with Applied Scientist job listings are Career development, Equity / stock options and Conferences. 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 | 1035 jobs Equity / stock options | 559 jobs Conferences | 432 jobs Startup environment | 395 jobs Medical leave | 330 jobs Health care | 314 jobs Competitive pay | 269 jobs Salary bonus | 247 jobs Flex hours | 234 jobs Team events | 200 jobs Parental leave | 175 jobs Flex vacation | 173 jobs Insurance | 133 jobs 401(k) matching | 80 jobs Flexible spending account | 76 jobs Relocation support | 40 jobs Fitness / gym | 39 jobs Wellness | 28 jobs Home office stipend | 26 jobs Transparency | 24 jobs

Salary Composition for an Applied Scientist in AI/ML/Data Science

The salary for an Applied Scientist in AI/ML/Data Science typically comprises several components. The fixed base salary is the most significant portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, usually make up 10-20% of the total salary. Additional remuneration may include stock options, especially in tech companies, and other benefits such as health insurance, retirement contributions, and professional development allowances. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech giants and startups in major cities like Toronto or Vancouver might offer more in stock options, while companies in other regions might focus more on base salary and bonuses.

Steps to Increase Salary from an Applied Scientist Position

To increase your salary from an Applied Scientist position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging AI/ML technologies and tools.
• Advanced Education: Pursue further education, such as a Ph.D. or specialized certifications, to deepen your expertise.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Leadership Roles: Aim for leadership or managerial roles within your organization, which often come with higher pay.
• Industry Transition: Consider moving to industries that pay higher salaries for AI/ML expertise, such as finance or healthcare.

Educational Requirements for an Applied Scientist Role

Most Applied Scientist roles in AI/ML/Data Science require at least a master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. is often preferred, especially for research-intensive positions. These educational programs provide a strong foundation in algorithms, data analysis, machine learning, and statistical modeling, which are crucial for the role.

Helpful Certifications for an Applied Scientist

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise. Some valuable certifications include:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications can validate your skills in specific tools and platforms, making you more attractive to potential employers.

Experience Required for an Applied Scientist Role

Typically, employers look for candidates with at least 3-5 years of experience in a related field. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in a specific industry, such as finance, healthcare, or technology, can also be beneficial, as it provides domain-specific insights that are valuable in applied science roles.

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