How to Get Data Scientist jobs in Canada – Best guide 2023

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How to Find Jobs as a Data Scientist in Canada: The first step to getting a career as a data scientist in Canada is to earn a degree in computer science or mathematics. Obtain a professional qualification, database and data expertise, and programming knowledge.

Do you want to work in data science in Canada? With an average annual pay of $94,756, data science is one of Canada’s more promising careers. Because of their professionalism and adaptability, data scientist jobs in Canada with the NOC code 2172 are among the most sought-after positions in the country.

A data scientist position in Canada is a high-tech position that sounds challenging, mysterious, and difficult to obtain. It can be simpler than you think to find work in data science, especially at entry-level pay.

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Data Scientist Salary 

One of the top vocations in Canada is that of the data scientist. An average data scientist makes $94,508 per year, or $48.47 per hour. Entry-level salaries for data scientists begin at $77,450 annually, with experienced data scientists earning up to $134,550 annually.

Data scientist salary per region

  • Ontario $100,000
  • Alberta $85,361
  • Quebec $85,000
  • British Columbia $80,000

Skills needed for Data scientist jobs in Canada

You need to be proficient in a number of significant programming languages and statistical computations in order to become a data scientist. Excellent communication and interpersonal abilities must be mastered.

  • R programing
  • Python Programming
  • SQL databases
  • Hadoop platform
  • Data visualization
  • Ability to tell stories for statistical computations.
  • Machine learning and AI
  • Business strategy
  • Good communication.
  • Ability to work with teams of an organization.
  • Ability to learn new concepts.

The technical and soft skills needed for data scientist positions in Canada are listed below. Data science ought to be capable of:

Unlocking the value of big data

As society gets increasingly data-driven, data becomes more valuable, but only if it can be applied to actual business problems; this is where the data scientist comes in.

To extract value from complex, unprocessed data from a variety of sources, including machine log data, digital media and documents, databases, the web, social media channels, and Internet of Things (IoT) sensors, businesses need personnel with expertise in statistics and data modeling.

Companies can make decisions regarding supply chain planning, producing new goods, and other things using the business intelligence or useful insights they gain from the data they collect.

These insights are also used by organizations to raise efficiency, find new hires, keep staff, and strengthen cybersecurity.

There ought to be a lot of technical expertise. The necessary technical abilities are listed below.

Diverse technical skills are required.

Of course, technical expertise is required for this post. Data scientists must be well-versed in a variety of mathematical concepts, such as multivariable calculus and linear algebra.

Data science is essentially a blend of mathematics, statistics, and computer technology. As a result, many businesses specifically look for candidates with statistical expertise.

To unlock the value of complex, unprocessed data from various sources, including machine log data, digital media and documents, databases, the web, social media channels, and Internet of Things (IoT) sensors, businesses require personnel with statistics and data modeling skills.

Moreover, a lot of businesses are in need of specialists who can deal with interactive data visualization tools like Tableau and languages like R, which are utilized for statistical analysis, data visualization, and predictive modeling.

Demand is high for data scientists with skills in Oracle, Microsoft SQL Server, Hadoop, and Extract, Transform, and Load (ETL), including designing database schemas and creating systems.

What do data scientists do?

Jobs for data scientists in Canada: Data science is a field that combines subject-specific expertise, computer proficiency, a working understanding of arithmetic and statistics, and the capacity to draw conclusions from data that can be put to use.

Do you intend to work as a data scientist in Canada? For all the information about what data scientists do, continue reading.

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Machine learning algorithms are combined with data such as numbers, text, photos, video, audio, and other types to create artificial intelligence (AI) systems, which can perform tasks that ordinarily require human intelligence.

In other words, these technologies produce information that company users and analysts may use to make money.

You must first be informed that abilities are necessary for jobs as a data scientist in Canada. According to Robert Half’s most recent Pay Guide, firms are hiring heavily in the technology sector, paying tech experts at or above their pre-pandemic levels.

As businesses accelerate their digital transformation, there is a profession that involves experts and is in demand in Canada: data scientists. These professionals are needed by companies in all major industry sectors, from technology and manufacturing to financial services and healthcare, as well as by academic, governmental, and nonprofit institutions.

This is done so that businesses of all sizes can use data to generate plans and recommendations for how to proceed.

Education requirements for advanced data scientist roles

Employing data scientists with doctorates in computer science or mathematics is preferred by many businesses.

A PhD can provide applicants an advantage in the employment process, and it’s a must for some positions.

Even though you might not initially need a graduate degree to work as a data scientist, it is likely to become more crucial as you attempt to advance in the industry.

Ways to gain relevant knowledge and skills

Here are some methods to acquire the necessary information and abilities and raise your chances of launching a fruitful data science career:

Stay current with online resources.

To learn more about online data analysis, statistics, data coding, and other relevant areas that interest you, look for e-books, online courses, and video tutorials. (Resources like Coursera, DataCamp, edX, LinkedIn Learning, and Udacity are examples of those that provide online learning opportunities for data science).

Learn relevant programming skills

It will probably be crucial to become knowledgeable in core programming languages like Python and SQL.

However, you should also take a look at the data scientists’ job descriptions at the companies you want to work for.

What other languages are expected for entry-level positions? This will help you decide where to concentrate your studying.

Get to know the data science community.

To meet people who work in data science or who want to work in data science, look for possibilities online.

You might search for data science specialists on LinkedIn, read blogs about the field, and follow notable data scientists.

If you are familiar with some well-known data scientists, you might request informational interviews from them to learn more about their positions.

Don’t forget to take advantage of the peers, mentors, and business associates who are already part of your professional network. They could offer advice on how to get started in the data science industry and connect you with others who can help.

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