Data Science

The Canadian Job Bank indicates that the demand for data scientists has substantially exceeded the available talent supply over the last three years, and that this labour shortage is expected to persist through 2031. The increased demand for the job overall makes data science a good bet for future employment in the next decade.

Data science jobs are well compensated, especially as there is currently more demand for this skill set than there are workers. The average annual salary for a data scientist in Canada is $124,693 per year, with related data jobs ranging from $70,676 for data analyst positions, up to $150,186 for machine learning engineers.

Data Analyst – $70,676

Data Analysts are responsible for extracting and analyzing data, as well as putting together data visualizations and dashboards to communicate their insights. They usually focus only on a specific area of data analysis, such as marketing, finance, or operational data, and systematically collect data from databases, reports, and spreadsheets.

Business Analyst – $74,479 

Business Analysts assess business processes and devise solutions that improve operational efficiency. Besides analyzing data, they also engage in process modeling and feasibility studies to zero in on possible areas of improvement. Business Analysts are skilled in translating technical concepts into user-friendly language, creating business cases, and overseeing projects to ensure that they’re aligned with organizational strategy.

Business Intelligence Developer – $94,253 

Business Intelligence Developers (BI Developers) are responsible for transforming raw data into actionable, data-driven insights. They develop and maintain data warehouses and databases to support reporting, and are also in charge of data cleaning.

Data Engineer – $99,149 

Data Engineers are responsible for the end-to-end handling of data for an organization. They collect data from databases and applications to develop data pipelines for data intake, while also taking on data cleaning duties to ensure accuracy and reliability.

Data Scientist – $124,693 

Data Scientists automate problem solving through deep learning and pattern recognition, as well as communicate their findings to diverse audiences–making data visualization skills a valuable asset in their toolkit.

Data Architect – $125,977 

Data Architects design and maintain data infrastructure within an organization. Ensuring the company’s data systems are organized and accessible is a significant part of their role, as is data security. Architects are responsible for establishing access controls, as well as data protection and encryption protocols, to keep sensitive information secure.

Big Data Engineer – $128,631

Big Data Engineers are responsible for optimizing and managing data infrastructure within an organization. They design and develop data pipelines for storing and collecting massive datasets, and are also responsible for the maintenance of these systems.

Machine Learning Engineer – $150,186 

Machine Learning Engineers are responsible for developing, creating, and implementing machine learning algorithms. They contribute to the innovation of new algorithms while improving existing ones, with the primary goal to enhance model accuracy.