Salary for Mid-level / Intermediate Data Scientist in Canada during 2024

Salary details

The average mid-level / intermediate Data Scientist salary lies between USD 80,290 and USD 137,930 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

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Data Scientist roles

The three most common job tag items assiciated with mid-level / intermediate Data Scientist job listings are Python, Statistics and Machine Learning. 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 | 3106 jobs Statistics | 2744 jobs Machine Learning | 2709 jobs SQL | 2394 jobs Engineering | 2147 jobs Computer Science | 1844 jobs R | 1818 jobs Mathematics | 1626 jobs Research | 1495 jobs Data analysis | 1246 jobs ML models | 1071 jobs Testing | 912 jobs AWS | 909 jobs Data visualization | 853 jobs Tableau | 788 jobs Pipelines | 763 jobs Spark | 725 jobs NLP | 711 jobs Big Data | 676 jobs Security | 663 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Data Scientist 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 | 2537 jobs Health care | 1325 jobs Flex hours | 868 jobs Equity / stock options | 865 jobs Competitive pay | 676 jobs Startup environment | 616 jobs Insurance | 614 jobs Medical leave | 601 jobs Parental leave | 557 jobs Team events | 532 jobs Salary bonus | 515 jobs Flex vacation | 505 jobs 401(k) matching | 388 jobs Wellness | 356 jobs Conferences | 157 jobs Unlimited paid time off | 134 jobs Flexible spending account | 133 jobs Relocation support | 116 jobs Transparency | 113 jobs Fitness / gym | 110 jobs

Salary Composition for Mid-level Data Scientist Roles in Canada

The salary for a mid-level data scientist in Canada typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. 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, often ranging from 5% to 15% of the base salary. Additional remuneration might include stock options, especially in tech companies or startups, and comprehensive benefits packages that cover health insurance, retirement plans, and other perks. The composition can vary by region, with tech hubs like Toronto and Vancouver offering higher base salaries and bonuses compared to smaller cities. Industry also plays a role; for instance, data scientists in finance or tech sectors might receive higher bonuses compared to those in academia or public sectors. Larger companies often provide more structured bonus schemes and additional benefits compared to smaller firms.

Steps to Increase Salary from a Mid-level Position

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

• Skill Enhancement: Continuously update your skills in emerging technologies such as deep learning, natural language processing, or cloud computing. Mastery in these areas can make you more valuable to employers.
• Advanced Education: Pursuing a master's degree or a Ph.D. in data science or a related field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into roles that involve team leadership or project management can lead to salary increases.
• Industry Specialization: Specializing in high-demand industries like finance, healthcare, or AI can lead to higher compensation.
• Networking and Professional Visibility: Attend industry conferences, contribute to open-source projects, or publish research to increase your visibility and attract better job offers.

Educational Requirements for Mid-level Data Scientist Roles

Most mid-level data scientist positions require at least a bachelor's degree in a relevant field such as computer science, statistics, mathematics, or engineering. However, a master's degree is often preferred and can be a significant advantage. Some roles may also consider candidates with degrees in other quantitative fields if they have relevant experience or skills. A strong foundation in statistical analysis, machine learning, and programming is essential.

Helpful Certifications for Data Scientists

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

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

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

Experience Requirements for Mid-level Data Scientist Roles

Typically, mid-level data scientist roles require 3 to 5 years of relevant experience. This experience should include hands-on work with data analysis, machine learning model development, and data visualization. Experience in handling large datasets, proficiency in programming languages like Python or R, and familiarity with data manipulation tools such as SQL are often expected. Experience in a specific industry can also be beneficial, as it provides domain knowledge that can be crucial for certain roles.

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