Data Science Job Roles, Salary Structure, and Course Fees in Canada

This decade have seen a boom in data science and similar technologies. It’s no longer necessary for tech workers to swarm to Silicon Valley to pursue their dreams because the age of tech dominance in one area is long gone. Canada is right up there with the best when it comes to important tech hubs. Because every firm in the modern day depends on data, data science has an impact on almost every industry.

There are multiple Emerging Tech Cities in Canada, despite the fact that cities like Toronto, Vancouver, Mississauga, Edmonton, and Montreal are largely regarded as tech powerhouses.

Why is Data Science so Prevalent Today?

The highest-paying profession of the twenty-first century is said to be data science. The striking question is; why is there such a stir about data science in the marketplace?

Data is a pertinent asset for any organization but is useless if not used wisely. Corporations wish to do the same in order to avoid going out of business after realizing how many businesses and organizations benefit from controlling and analyzing their data. As a result, the need for data is increasing as more businesses start utilizing data more closely.

That being said, because businesses require data to make informed business decisions, data science is still a highly sought-after discipline. Data science is the method of transforming ambiguous data into insightful understandings that may be used for a number of important organizational decisions. 

The need for data scientists and data science professionals are continually increasing as businesses become more and more aware of how worth data is. In just a few years from now, the size of the data science market is anticipated to increase to at least one-third of the whole IT market. Every organization seeks out people who can comprehend, analyze, and present data in order to make wise business decisions.

Refer these articles for more details:

• What is a Gradient Descent?
• Introduction to Boxplots
• A Complete Guide to Stochastic Gradient Descent (SGD)

Popular Data Science Career Paths in Canada

Being a data scientist is not your only option if you want to pursue a career in data science. There are numerous employment opportunities available due to the fact that more and more data is generated every day and that managing, analyzing, and understanding it requires a number of different stages.

There are many different data science job roles that you can pursue even though data science is a big topic with numerous smaller, well-defined subfields.  

• Data Engineer
• Data Analyst
• Business Intelligence Analyst
• Database Administrator
• Statistician
• Machine Learning Engineer
• Database Developer
• Business Analyst
• Data Mining Specialist
• Data Architect
• Marketing Analyst

Read this article: What are the Top IT Companies in Canada?

Data Science Skills to Master

Data science is also always changing. Data science careers in contrast to other conventional professions, allow you a variety of employment roles and job titles. To grow your career in data science, you must constantly learn new things and upgrade your technical knowledge of different programming languages, platforms, and technologies.

The people with the best chances for a successful career in data science are those who possess a significant understanding of how to use analytical skills to transform data into useful insights. Let’s have a look at the top data science hard skills to have.

Hard Skills for Data Science Professionals

• Programming Languages like R, Python, and C.
• Terminologies are interrelated to mathematics, statistics, and probability.
• Data Visualization, Data Mining, ML, and Artificial Intelligence.
• Business Mindset.
• Grip over the cloud platforms – GCP, AWS, and Azure.

A rich career now exists in data science. Given that data science is a highly technical field, aspirants who wish to pursue it as a career will need to put in a lot of effort and dedication. But the benefits are considerably bigger.  There are some personal qualities and soft skills needed by data scientists, that are additionally important for working in the domain.

Data Science Soft Skills

• Use facts to create a tale
• Thinking out of the box
• Being a team player
• Having an inquisitive mindset
• Being proactive in decision making
• Having efficient communication skills
• Paying close heed to details

Read this article : Is Data Science and Artificial Intelligence in Demand in Canada?

Data Scientist’s Salary in Canada

Canada‘s position as the next major destination for tech talent is being further cemented by tech behemoths like Google, Meta, and Amazon actively and aggressively expanding their footprint in the country. 

Data science professionals in Canada are compensated well. What’s the reason though? It’s quite easy, given there is a huge demand for data science talents and a small available pool of people, businesses are ready to secure the right talents even though it means they have to pay increasingly higher salaries for the professionals in the domain. 

• As per Indeed.com, the salary for a data scientist in Canada is CAD 85,859 a year and CAD 6,045 a month.
• The salary for a data scientist in Canada on average is CAD 81,343 per annum. (Payscale.com) In Canada, the highest yearly income for a Data Scientist is CAD 107,000. The lowest wage for a Data Scientist in Canada is CAD 59,000 per annum.
• Whereas, Talent.com reports that a data scientist in Canada earns an average salary of  CAD 94,964 on a yearly basis. The starting salary for entry-level positions is CAD 77,870, while the yearly average wage for experienced workers is CAD 136,500.
• According to Glassdoor, the national average salary for data scientists in Canada is CAD 91,311 per year.

Toronto

For tech talent, Toronto is a center of attraction. One hundred and fifty percent of the new tech employment in Canada during the last five years has been created in this city. The city’s IT skill pool expanded by 36.5 percent over that time. In North America, Toronto ranks third in terms of size behind New York City and the San Francisco region, according to a recent CBRE research.

• A Data Scientist’s Salary in Toronto is an average of CAD 94,326, according to glassdoor.com.
• According to Indeed.com, a Data Scientist in Toronto can expect to make an average annual pay of 130,609 and a monthly compensation of CAD 9,247, which is 53% above the national average.

Edmonton

With a focus on innovation, machine learning, and artificial intelligence, Edmonton, Alberta, is another city that has emerged as a digital powerhouse. With great average pay and a variety of IT fields, it is now regarded as one of the top Canadian tech locations to relocate to.

• Glassdoor.com reports that the average pay for a data scientist in Edmonton is CAD 87,787.
• According to Indeed.com, the typical compensation for a data scientist in Edmonton is CAD 4,394 per month or $62,055 annually.

Mississauga

The best minds and cutting-edge businesses are drawn to Mississauga, which is the center of Canadian innovation and technological activity. Mississauga offers the resources, community, and community support to foster industry growth, success, and worldwide impacts, from start-ups to scale-ups to international businesses. With an increase in foreign investments from companies like Cognizant, HCL Technologies, and Infosys, Mississauga is drawing attention from all over the world in the Information and Communications Technology (ICT) industry.

• The average pay for a data scientist in Mississauga, is CAD 94,340, according to glassdoor.com.
• According to Indeed.com, the average compensation for a data scientist in Mississauga is CAD 111,336 per year, or CAD 7,883 each month, which is 30% above the national average salary level.

Should I pursue a data science certification in Canada?

Data science is one of the most sought-after occupations nowadays due to the rapid advancement of data science technology and the increasing value of data. You need to be familiar with data science technologies and techniques if you want to create a career in data science in Canada. Additionally, you must have the ability to solve problems effectively, communicate clearly, and be driven to uncover insights in data.

A data science certification is a crucial qualification if you want to successfully achieve a competitive advantage in the field of data science. You can effectively become a master in the field by earning a certification in data science from a reputable training program. And for that matter, DataMites, a global provider of courses in machine learning, artificial intelligence, Python, data analytics, and MLOps, now provides data science training in Canada.

The best certifications in data science listed below are essentially ideal for beginners, experts, and professionals with intermediate skill levels.

1. Certified Data Scientist
2. Python for Data Science
3. Diploma in Data Science
4. Data Science for Operations
5. Statistics for Data Science
6. Data Science Foundation
7. Data Science for Marketing
8. Data Science for Managers

Read these articles to learn more:

• A Guide to Principal Component Analysis (PCA) for Machine Learning
• A Guide to MLOps (Machine Learning Operations)

DataMites – Data Science Certification Cost in Canada 

Given its complexity, data science requires time and effort as a prerequisite to mastery. In Canada, DataMites provides an eight-month online data science certification program. With the aid of this very practical course, you can build a portfolio to demonstrate your mastery of data science to potential employers. Now that our entire curriculum has received IABAC accreditation, it is widely recognized. Prepare to practice often to become an expert in data science.

We offer online data science training in Canada for managers, beginners, and seasoned professionals. If you’re just getting started in the subject of data science, the Data Science Foundation, Certified Data Scientist, or Diploma in Data Science Training are excellent places to start.

The typical data science course fees in Canada are between 1,500 CAD to 4,000 CAD. In contrast, DataMites offers flexible pricing for online data science courses in Canada. The cost of data science training in Canada is  CAD 3,050, but you can now sign up for it for just CAD 1,875!

Conclusion

Due to the growing demand for qualified workers, the future potential of data scientists is expanding and will continue to present more opportunities. To manage and analyze massive datasets using machine learning techniques, you must therefore prepare yourself. To prepare for your job path, enroll in a DataMites data science certification course in Canada.

Refer these articles:

• What is Cross-Validation and Validation in Machine Learning?
• K-Nearest Neighbor (KNN) Algorithm in Machine Learning using Python