A complete guide to data scientist salary in Canada

data scientist salary in canada

Canadian universities have some of the best master’s degree programs in Data Science and Analytics. A career in Data Science is one of the most promising professional categories with some of the best salaries in the Canadian employment landscape. Data scientists and data analytics experts earn well even at the early stages of employment. A data scientist’s job in Canada cannot be uninteresting because of the growing need to address massive loads of unprocessed data in companies.

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Scope of Data Science in Canada

A data scientist’s average income in Canada is higher than in most other countries. The demand and versatility of a data science degree provide students with diverse work opportunities. The average salary of a Data Scientist in Canada is CAD 95,700 (Rs 55 lakh) per year or CAD 49.08 (Rs 2,858) per hour. The starting data scientist salary in Canada is CAD 77,000 (Rs 45 lakh) per year, with most experienced individuals earning up to CAD 137,000 (Rs 80 lakh) per year. Students must learn the skills considering the scope of data science in Canada.

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In-demand skills for top tier Data Science jobs

Data science is a high-end employment option. Students with significant abilities get jobs in top-tier positions in businesses. The more skillsets an expert has, the more successful they are. Regardless of function or duties, students must be adept in the following:

1. Mathematics and statistics

Data scientists must be able to perform mathematical and statistical calculations. These are intertwined and demand efficiency. Data-driven companies hire data scientists to research and determine various statistical approaches, such as tests, processes, estimators, and distributors. The outcomes are critical for crucial business decisions. Data scientists should have a working knowledge of calculus and mathematics to gain expertise in machine learning. The requirement of statistics shouldn’t be surprising.

2. Programming

The most crucial aspect of Data Science is programming. A data scientist will not be able to sustain or do justice to the job profile without proficiency in computer languages. Professionals with programming knowledge and expertise are paid the highest in the Canadian job market. Java, Python, Hadoop, SQL, and C++ are just a few of the programming languages one should master. 

3. Data communication and visualization

Data communication and visualization are important aspects of data analysis. Unstructured data is difficult to work with. So, it is important to represent and organize data in a simple and visually understandable manner. This is important because the marketing decisions of many businesses are completely data-driven. It depends on how well data is interpreted. There are multiple tools like Tableau and Power Business Intelligence, that help data scientists master data communication.

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4. Software Engineering

Software engineering expertise and abilities come in handy while dealing with massive quantities of data. Data scientists with software engineering skills are in high demand, and employers are willing to pay extra for them.

5. Data Analytics and Remodeling

The quality of insights depends on the data scientists. The data scientist’s skills in modeling and analytics are highly expected. Communication, analysis, and critical thinking will play a vital role in modeling data. Data scientists need to run tests, process and analyze data while also creating various models to understand and predict outcomes.

6. Communication

Data is meaningless unless it is communicated.   Individuals looking for a data scientist position in a company should have strong communication skills. It might be as simple as explaining how to get from point A to point B or discussing data visualization approaches, presenting business growth forecasts & marketing statistics.

7. Extraction, loading, and transformation of data

Data is extracted from a variety of sources such as MySQL, Google Analytics, and MongoDB. The more sources used, the higher the data quality. To examine this unstructured data, it is put into the right structure or format. The data must be stored in a data warehouse after analysis. The data scientists interpret the information in this section. Data science applicants with experience in extracting, transforming, and importing data have a bright future.

8. Intellectual thinking

Data scientists must use their intellect to think outside the box and decipher the correct meaning. They should be able to solve issues and examine solutions with intellect. To understand data and interpret it in numerous ways, a data scientist must be curious too.

9. Machine learning and deep learning

Machine learning is the process of making devices and gadgets smart enough to decide and think independently. To avoid losses, data scientists must be well-versed in algorithms and be able to generate profitable forecasts. Deep learning is a concept that involves using neural networks to learn. For machine learning experts, Python is the most significant programming language. TensorFlow is a well-known Python library for building deep learning models.

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Top data scientist recruiters in Canada

The Canadian job market has a wide range of multinational companies and organizations. Employers from various sectors, like banking, information technology, healthcare, retail, and services, hire data science professionals at good pay packages. Here are some of the leading industries in the Canadian job market for data science jobs: 

1. Marketing-advertising

2. Automotive industry

3. Entertainment and media

4. Education

5. Healthcare and pharmaceuticals

6. Online businesses

7. Telecommunications 

8. Retail

9. Banking and finance

10. Outsourcing

11. The government

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Top Data Science job opportunities in Canada

Job Title

Job Description Average Annual Salary
Senior Data Scientist Senior Data Scientist is one of the high-end and top positions after an MS degree in Data Science.

CAD 120,000 (Rs 70 lakh)

Business Intelligence Analyst 

BI analysts use data to help organizations make sound business decisions. They are hired by top companies to program tools and build data models to visualize.  CAD 77638 (Rs 45 lakh)
Data Architect  Data Architect is a management discipline concerned with designing, creating, deploying, and managing an organization’s data architecture. 

CAD 81,000 (Rs 47 lakh)

Business Intelligence Developer

BI developer is an engineer who uses business intelligence software to interpret and display data for an organization. Individuals with data science and software engineering skills can take up this role. CAD 81,945 (Rs 48 lakh)
Application Architect Applications architecture describes the behavior of applications used in a business, focusing on how they interact with each other and with users. It is highly in demand in the gaming and information technology industries.

CAD 110,000 (Rs 64 lakh)

Big Data Engineer

Big Data Engineers are the top-ranked career opportunities after Data Science. Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data useful. CAD 120,000 (Rs 70 lakh)
Business Analyst  A business analyst is a popular career and individuals need to have good communication skills, programming knowledge, and know-how to make business decisions quickly. 

CAD 78,574 (Rs 46 lakh)

Data Scientist

Data Scientists are responsible for collecting, analyzing, and interpreting the large amounts of data available for data-driven businesses.  CAD 107,500 (Rs 63 lakh)
Machine learning scientist Machine learning scientists work with data and build machine learning models to help devices make the right decisions.

CAD 162,625 (Rs 95 lakh)

Data Analyst

A Data Analyst is one of the most popular job opportunities after MS in Data Science. The opportunities are ample since various sectors in the Canadian job market hire data analysts regularly. CAD 60,416 (Rs 35 lakh)
Data Mining Engineer Data mining engineers are in high demand. They are responsible for designing and interpreting data for high-traffic transactional systems. It is a great job opportunity after a Data Science course in Canada. 

CAD 80,673 (Rs 47 lakh)

Machine Learning Engineer  

A machine learning engineer is the second-best opportunity after a Machine Learning Scientist. Data-driven businesses are flourishing in Canada. Hence, the need for Machine Learning engineers is huge. Good knowledge of programming languages, communication, data modeling, and analytics skills will be important to get a good salary package. 

CAD 140,000 (Rs 81 lakh)

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Conclusion

A data scientist’s average annual salary in Canada is around 95,700 CAD (Rs 55 lakh). It is more than the average salary in any other country. Canada is a global leader in education, with some of the world’s best colleges for Data Science and Analytics courses. The country produces some of the best data scientists with the necessary skills and abilities to succeed in a variety of businesses. The Canadian job market features many significant industries that hire data scientists all year long at competitive salaries. As mentioned, data science students can advance their careers to some of the top-paying job opportunities immediately after graduation. For more information, connect with the career experts at upGrad Abroad.

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