"Talented data scientists leverage data that everybody sees; visionary data scientists leverage data that nobody sees."
— Vincent Granville
Who is a data scientist? A data scientist is a professional skilled in analysing and interpreting large and complex sets of data by using various statistical and computational techniques. They use data to extract insights and knowledge that can assist organisations in making better decisions, finding solutions to issues, and innovating. They accomplish this by applying their understanding of programming, mathematics, statistics, and domain expertise. Data scientists utilise techniques like data mining, machine learning, and deep learning to create predictions and recommendations based on data. They work with structured and unstructured data, including text, photos, and video. They may also be responsible for data visualisation and communication to communicate their findings to stakeholders effectively. Data science offers various specialisations, including roles such as data scientist, data analyst, business analyst, data visualisation specialist, data engineer, and big data engineer, each with a unique focus and expertise.
In Canada, a data scientist can expect to make about CAD 91,000 per year on average. A data scientist's salary in Canada is between CAD 70,000 to CAD 120,000 per year, depending on experience, location, industry, and company size. According to some reports, data scientists with advanced degrees, experience, and in-demand talents can make more than 200,000 Canadian dollars annually. Some data scientists even earn up to 350,000 CAD annually.
Salary according to levels:|
Levels |
Salary |
|
Entry- level |
CAD 65,000 to CAD 85,000 per year |
|
Mid - Level |
CAD 85,000 to CAD 120,000 per year |
|
Senior - Level |
CAD 120,000 to CAD 160,000 per year |
In many regions of Canada, particularly major urban centres like Toronto, Vancouver, and Montreal, data scientists are in high demand. The research also highlights data science as a major area of focus for Canada's digital economy and innovation agenda, with strong growth potential in several sectors, including healthcare, banking, and cybersecurity. Some Canadian provinces have implemented strategies to draw in and keep talented data scientists, including providing training and educational opportunities as well as tax incentives for companies investing in R&D as well as training and education programmes for both aspiring professionals and students. To encourage research and development in AI and data science, for instance, the Ontario government has started programmes like the Ontario AI Innovation Network (OAIN) and the Vector Institute for Artificial Intelligence. Overall, it is evident that Canada has a significant demand for data scientists across various companies and fields, and it is projected that this tendency will continue in the years to come.
|
State |
Income (per yr) |
|
Ontario |
$93,725 |
|
Quebec |
$84,073 |
|
Nova Scotia |
$76,688 |
|
New Brunswick |
$75,648 |
|
Manitoba |
$75,477 |
|
British Columbia |
$89,807 |
|
Prince Edward Island |
$73,555 |
|
Saskatchewan |
$80,108 |
|
Alberta |
$86,900 |
|
Newfoundland and Labrador |
$76,097 |
The gender pay disparity in data science in Canada has drawn attention in recent years. The underrepresentation of women in data science and other data-driven disciplines persists even though women have long represented a sizable share of the workforce in STEM fields. Data science is a fast-expanding industry that offers high-paying, in-demand careers, so this is very concerning. The gender wage gap in data science is caused by a variety of factors, including unconscious bias in hiring and promotion, a lack of mentors and role models, and the burden of responsibility that typically falls disproportionately on women.
Numerous programmes have been launched in recent years to close the gender pay gap in data science. Unconscious biases in hiring and promotion are being addressed by some organisations by utilising techniques like structured interviews and blind resume assessments. Others are putting in place initiatives like flexible work schedules and mentorship programmes to help the career growth of women and other underrepresented groups. Additionally, there are programmes like outreach campaigns and coding camps designed to increase the representation of women and marginalised groups in STEM professions. These programmes are essential because they promote workplace inclusion and diversity while tackling the gender pay gap in data science. Diverse teams, according to research, are more creative, effective, and better able to tackle challenging issues.Suggested Blog: Data Science Courses in Canada for Indian Students
In Canada, data science covers a wide range of positions and specialisations. These are a few typical jobs in data science:
Data analyst: Data analysts are in charge of gathering, processing, and performing statistical data analysis. They can operate in many different sectors, including marketing, finance, and healthcare, and they aid organisations in making data-driven decisions. In Canada, a data analyst has an average yearly pay of $66,433.Still unclear about anything? Well, not to worry. Contact AECC and get your queries answered today! AECC is one of the world's leading educational consultancies, with versatile expert professionals ready to help you with any queries you may have. Contact us so we can be of assistance to you in your journey to achieving your dream.
Data scientists in Canada can earn a range of salaries depending on their experience, sector, company, and location. Payscale data indicates that the typical annual income for a data scientist in Canada is from CAD 76,000 to CAD 114,000. However, this amount can range from CAD 53,000 for an entry-level data scientist to CAD 136,000 for an experienced senior data scientist. With an average base pay of CAD 80,000 per year for entry-level roles and up to CAD 136,000 per year for senior-level positions.
Data Science in Canada is anticipated to expand over the next few years, creating opportunities for both job security and career advancement. Regarding pay, data scientists in Canada often make high wages, especially for those with specialised knowledge like machine learning and artificial intelligence.
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