Salary for Senior-level / Expert Associate in Canada during 2024

Salary details

The average senior-level / expert Associate salary lies between USD 75,000 and USD 113,000 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: Jan. 26, 2025

Top 20 Job Tags for Senior-level / Expert Associate roles

The three most common job tag items assiciated with senior-level / expert 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 | 581 jobs Engineering | 565 jobs SQL | 514 jobs Data Analytics | 400 jobs Data management | 386 jobs Machine Learning | 320 jobs Agile | 319 jobs AWS | 283 jobs Business Intelligence | 271 jobs Statistics | 261 jobs Azure | 245 jobs Computer Science | 242 jobs Architecture | 241 jobs Research | 228 jobs Testing | 226 jobs Security | 213 jobs Pipelines | 212 jobs Spark | 209 jobs Data analysis | 197 jobs ETL | 190 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Associate roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 707 jobs Health care | 232 jobs Flex hours | 197 jobs Competitive pay | 131 jobs Team events | 126 jobs Startup environment | 106 jobs Flex vacation | 98 jobs Salary bonus | 86 jobs Equity / stock options | 81 jobs Parental leave | 81 jobs Wellness | 63 jobs Medical leave | 62 jobs Insurance | 57 jobs Transparency | 38 jobs Relocation support | 36 jobs Home office stipend | 20 jobs 401(k) matching | 19 jobs Flexible spending account | 15 jobs Gear | 13 jobs Conferences | 11 jobs

Salary Composition

In Canada, the composition of a salary for a Senior-level or Expert Associate role in AI/ML/Data Science can vary significantly based on factors such as region, industry, and company size. Typically, the salary package includes a fixed base salary, which forms the bulk of the compensation. This base salary is often complemented by a performance-based bonus, which can range from 10% to 20% of the base salary, depending on the company's performance and individual contributions. Additionally, larger companies or those in competitive tech hubs like Toronto or Vancouver might offer stock options or equity as part of the remuneration package. Benefits such as health insurance, retirement plans, and professional development allowances are also common, adding further value to the overall compensation.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or AI ethics can make you more valuable.
• Leadership Roles: Seek opportunities to lead projects or teams, as managerial responsibilities often come with higher pay.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about higher-paying opportunities.
• Advanced Education: Pursuing further education, such as a Ph.D. or an MBA with a focus on technology management, can open doors to higher-paying roles.
• Negotiation: When discussing salary, be prepared to negotiate based on your contributions, market research, and the value you bring to the company.

Educational Requirements

For a Senior-level position in AI/ML/Data Science, most employers 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 roles that involve research or the development of new algorithms. The educational background should provide a strong foundation in programming, data analysis, and machine learning principles.

Helpful Certificates

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 knowledge, making you a more attractive candidate to potential employers.

Required Experience

Typically, a Senior-level role in AI/ML/Data Science requires at least 5-8 years of relevant experience. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in leading projects, mentoring junior team members, and collaborating across departments is also highly valued. Employers look for a proven track record of successful project delivery and the ability to translate complex data insights into actionable business strategies.

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