Data Scientist Salary in Canada during 2024

Salary details

The average Data Scientist salary lies between USD 92,190 and USD 175,000 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

Salary trend

Top 20 Job Tags for Data Scientist roles

The three most common job tag items assiciated with Data Scientist job listings are Python, Machine Learning and Statistics. 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 | 12096 jobs Machine Learning | 10867 jobs Statistics | 10255 jobs SQL | 8980 jobs Engineering | 8523 jobs Computer Science | 6890 jobs R | 6494 jobs Mathematics | 6182 jobs Research | 5731 jobs ML models | 4343 jobs Data analysis | 4319 jobs Testing | 3651 jobs AWS | 3606 jobs Deep Learning | 3072 jobs Pipelines | 2898 jobs Spark | 2880 jobs Data visualization | 2812 jobs NLP | 2802 jobs PhD | 2688 jobs Big Data | 2636 jobs

Top 20 Job Perks/Benefits for Data Scientist roles

The three most common job benefits and perks assiciated with Data 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 | 10314 jobs Health care | 5413 jobs Equity / stock options | 3828 jobs Flex hours | 3516 jobs Startup environment | 3059 jobs Competitive pay | 2935 jobs Salary bonus | 2760 jobs Insurance | 2591 jobs Team events | 2284 jobs Medical leave | 2243 jobs Parental leave | 2216 jobs Flex vacation | 2159 jobs Wellness | 1487 jobs 401(k) matching | 1335 jobs Conferences | 659 jobs Flexible spending account | 529 jobs Fitness / gym | 505 jobs Unlimited paid time off | 488 jobs Relocation support | 457 jobs Home office stipend | 444 jobs

Salary Composition

In Canada, the salary composition for a Data Scientist can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. This base salary can range widely depending on the cost of living in the region and the demand for data science skills.

In addition to the base salary, many companies offer performance-based bonuses. These bonuses can be annual or quarterly and are often tied to individual performance metrics or company-wide goals. The bonus percentage can vary, but it typically ranges from 5% to 20% of the base salary.

Additional remuneration may include stock options or equity, especially in tech startups or larger tech companies. This form of compensation can be quite lucrative if the company performs well. Other benefits might include health insurance, retirement contributions, and professional development allowances.

Increasing Salary

To increase your salary from a Data Scientist position, consider the following strategies:

• Specialization: Develop expertise in a niche area of data science, such as natural language processing, computer vision, or deep learning. Specialized skills are often in high demand and can command higher salaries.

• Leadership Roles: Transition into leadership or managerial roles, such as a Data Science Manager or Director of Data Science. These positions typically offer higher salaries and additional responsibilities.

• Continuous Learning: Stay updated with the latest tools and technologies in the field. Pursuing advanced certifications or a master's degree in data science or a related field can also enhance your qualifications.

• Networking: Build a strong professional network. Engaging with industry professionals can lead to new opportunities and insights into higher-paying roles.

Educational Requirements

Most Data Scientist positions require at least a bachelor's degree in a relevant field such as computer science, statistics, mathematics, or engineering. However, many employers prefer candidates with a master's degree or even a Ph.D., especially for roles that involve complex data analysis and modeling.

Helpful Certifications

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

• Certified Analytics Professional (CAP): This certification is recognized globally and covers a broad range of analytics skills.

• Google Professional Data Engineer: This certification focuses on designing, building, and operationalizing data processing systems.

• AWS Certified Machine Learning – Specialty: This is ideal for those working with machine learning on the AWS platform.

• Microsoft Certified: Azure Data Scientist Associate: This certification is beneficial for those using Azure for data science projects.

Experience Requirements

Typically, a Data Scientist role requires at least 2-5 years of experience in a related field. This experience should include hands-on work with data analysis, statistical modeling, and machine learning. Experience with programming languages such as Python or R, and familiarity with data visualization tools, is also essential.

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