Salary for Mid-level / Intermediate Associate in Canada during 2024

Salary details

The average mid-level / intermediate Associate salary lies between USD 90,821 and USD 153,227 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. 10, 2024

Top 20 Job Tags for Mid-level / Intermediate Associate roles

The three most common job tag items assiciated with mid-level / intermediate Associate job listings are Python, Engineering and SQL. 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:

Python | 2255 jobs Engineering | 1895 jobs SQL | 1642 jobs Machine Learning | 1484 jobs Computer Science | 1469 jobs Statistics | 1429 jobs Research | 1409 jobs R | 1041 jobs Mathematics | 962 jobs Testing | 898 jobs Data management | 844 jobs Data analysis | 833 jobs Agile | 795 jobs AWS | 768 jobs Finance | 766 jobs Security | 766 jobs Data Analytics | 753 jobs Excel | 752 jobs Tableau | 712 jobs Architecture | 691 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Associate roles

The three most common job benefits and perks assiciated with mid-level / intermediate Associate job listings are Career development, Health care and Flex hours. 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 | 2445 jobs Health care | 1083 jobs Flex hours | 991 jobs Team events | 738 jobs Competitive pay | 657 jobs Startup environment | 611 jobs Insurance | 497 jobs Flex vacation | 489 jobs Equity / stock options | 483 jobs Wellness | 472 jobs Parental leave | 405 jobs Salary bonus | 401 jobs Medical leave | 326 jobs Relocation support | 216 jobs Conferences | 215 jobs Transparency | 181 jobs 401(k) matching | 177 jobs Fitness / gym | 121 jobs Home office stipend | 74 jobs Unlimited paid time off | 67 jobs

Salary Composition

In Canada, the salary composition for a mid-level AI/ML/Data Science role typically includes a base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company’s performance and individual achievements. Additional remuneration like stock options is more common in tech companies or startups, especially in regions like Toronto or Vancouver. Larger companies might offer more comprehensive benefits packages, while smaller companies might compensate with higher bonuses or equity options.

Steps to Increase Salary

To increase your salary from a mid-level position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or even a Ph.D. in a relevant field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into leadership or managerial roles can significantly boost your salary. This might involve leading a team of data scientists or managing projects.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
• Certifications: Obtaining advanced certifications can also justify a salary increase.

Educational Requirements

Most mid-level AI/ML/Data Science positions require at least a bachelor's degree in a related field such as computer science, data science, statistics, or mathematics. However, many employers prefer candidates with a master's degree due to the advanced knowledge and skills it provides. A strong foundation in programming, statistics, and machine learning principles is essential.

Helpful Certifications

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

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills and make you stand out in a competitive job market.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in data science or a related field. This experience should include hands-on work with data analysis, machine learning model development, and deployment. Experience with programming languages like Python or R, and familiarity with data manipulation tools and libraries, is often expected.

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