Data Scientist Salary in Canada during 2023

Salary details

The average Data Scientist salary lies between USD 120,000 and USD 219,000 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 2023 and the number of open jobs that where associated with them during that period:

Python | 4066 jobs Machine Learning | 3600 jobs Statistics | 3281 jobs SQL | 3082 jobs Engineering | 2829 jobs Computer Science | 2162 jobs R | 2101 jobs Mathematics | 1963 jobs Research | 1870 jobs ML models | 1341 jobs Data analysis | 1121 jobs Testing | 1103 jobs Tableau | 985 jobs Spark | 982 jobs AWS | 965 jobs Big Data | 908 jobs Deep Learning | 897 jobs PhD | 837 jobs NLP | 824 jobs Pipelines | 809 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 Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 3338 jobs Health care | 1592 jobs Startup environment | 1209 jobs Flex hours | 1202 jobs Equity / stock options | 1081 jobs Competitive pay | 1078 jobs Team events | 992 jobs Flex vacation | 924 jobs Insurance | 808 jobs Parental leave | 779 jobs Salary bonus | 767 jobs Medical leave | 566 jobs Wellness | 468 jobs 401(k) matching | 466 jobs Home office stipend | 326 jobs Unlimited paid time off | 308 jobs Conferences | 254 jobs Fitness / gym | 191 jobs Gear | 140 jobs Relocation support | 138 jobs

Salary Composition for Data Scientists in Canada

The salary for a 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 forms the largest part of the total compensation package. Performance bonuses can vary significantly depending on the company’s policy and the individual's performance. Additional remuneration might include stock options, especially in tech companies, and benefits like health insurance, retirement plans, and paid time off.

The composition can vary based on several factors: - Region: Salaries in major tech hubs like Toronto or Vancouver might be higher due to the cost of living and demand for talent. - Industry: Data Scientists in finance or tech industries often receive higher compensation compared to those in academia or non-profit sectors. - Company Size: Larger companies or well-funded startups might offer more competitive packages, including stock options and bonuses.

Steps to Increase Salary

To increase your salary from a Data Scientist position, consider the following strategies: - Skill Enhancement: Continuously update your skills in emerging technologies like deep learning, natural language processing, or cloud computing. - Advanced Education: Pursuing a master's or Ph.D. in a relevant field can open doors to higher-paying roles. - Leadership Roles: Transitioning into managerial or lead data scientist roles can significantly boost your salary. - Industry Switch: Moving to a higher-paying industry, such as finance or tech, can also increase your earnings. - Networking: Building a strong professional network can lead to opportunities in higher-paying positions.

Educational Requirements

Most Data Scientist roles require at least a bachelor's degree in a relevant field such as computer science, statistics, mathematics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for more advanced positions. These advanced degrees provide a deeper understanding of complex algorithms and data analysis techniques, which are crucial for high-level data science roles.

Helpful Certifications

While not always required, certain certifications can enhance your profile and demonstrate your expertise: - Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights. - Google Professional Data Engineer: Focuses on designing, building, and operationalizing data processing systems. - Microsoft Certified: Azure Data Scientist Associate: Demonstrates your skills in using Azure's machine learning services. - AWS Certified Machine Learning – Specialty: Validates your ability to build, train, and deploy machine learning models on AWS.

Experience Requirements

Typically, a Data Scientist position requires 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 like Python or R, and tools like SQL, TensorFlow, or PyTorch, is often essential. For senior roles, 5-10 years of experience, including leadership responsibilities, may be required.

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