Get a data science job in Montreal

The amount of data that gets generated in every organization on a day-to-day basis is huge. This is the reason why every organization around the world is utilizing this data and transforming it into information which can be used to make informed strategies that help a business boom. However, the challenge arises in the fact that most organizations need skilled professionals who can extract these insights from such large quantities of data.

Moving to Montreal for work and looking for a career in the field of data analytics? Read on to learn some tips that will help you find work in Montreal.

Few Steps to Landing Your First Data Science Job

1. Self-Assessment

When you are starting out in a data science job and lack prior experience, it is crucial that you make a correct self-assessment to know where you stand as a professional in this field. Ask yourself the following questions - why should a company hire you? If a company does not, what could be the reason? How much do you know about this entire field and what more do you need to learn? What extra skills will help you stand out from a crowd of other data scientists?

Besides the skills and knowledge, a data science professional should also understand how corporations work, the current job demands in the market and the latest programming languages used. Now make a rational plan and execute it.

2. Connect with Leaders

Seeking advice from those who have already mastered their own domains is the best way to gain valuable knowledge that is based on experience. To do this, make the best use of social learning and networking platforms, such as LinkedIn, where you will be able to connect with many business leaders from the industry.

Another good way to form connections is attending conferences on data science. Not only do you get to participate in masterclasses and talks, but you also meet people from the industry who could point you in the right direction.

3. Accept Reality

Data science is one of the most in-demand jobs in the industry and is high-paying too, therefore, reality needs to be accepted. No company would be willing to pay a handsome paycheck to someone who doesn’t tick all the boxes for a high-level role. So, it is alright if you do not get the role, you are looking for when you are starting out, but if you are determined to keep at it and keep learning more, then your chances of landing a higher position will increase significantly.

4. Practice with Real-Time Problems

Continuing to learn and master skills is a must, but to make the best use of your knowledge, it must be used for solving real-time problems. The more you solve these problems, the more experience you will gain. You will also be able to improve your confidence and forge a pathway to land your dream data scientist job. Several hackathons are available online- you may choose to participate to assess where you stand in this highly competitive industry.

5. Skills you Need to Master

Mathematics is one of the most vital elements in data science, as there are several concepts that deal with algorithms. Even subjects like probability theory and statistics are important for the implementation of algorithms.

Programming- people may suggest a host of programming languages that a data scientist should learn, but it can be overwhelming. The two most important languages are R and Python, which should suffice to start a decent career. As you gain more confidence with these two, move on to learning other languages.

6. Learn Data Analysis and Visualization

Becoming proficient in both Python and SQL is essential for securing data science jobs in Montreal. Once you’ve done that, you can start analyzing and visualizing data for deeper insights.

For data analysis, use the Pandas library, a software library written for Python. For data visualization, familiarize yourself with the Matplotlib, a library for creating, “static, animated and interactive visuals.” Once you become familiar with these libraries, you’ll be well on your way to pursue various data science jobs.



How do I get a data science job with no experience?

To start a career in data science without any experience, you should aim to do a few things, such as: learn the required technical skills to build a portfolio of work, network and take mentorship, create a good resume, take up data roles and earn experience, as well as have a good closing statement. These things are a good place to start with your career. 

Is it easy to get a data science job in Canada?

The tech industry in Canada is booming, so there is demand for good data scientists, and if you have the right experience, it should not be too difficult to find a job.

Is data science a good career in Canada?

The average income of a data scientist in Canada is much higher than most other countries due to the high demand as well as the versatility of this credential that opens the door to several opportunities for graduates. As per, the average salary of a data scientist in Canada is about $95,000 a year. Entry-level positions offer $76,000, while more experienced data scientists can make up to $130,000 a year.

Looking for the right institution and data science program to get you started in the data science field? Check out the brilliant programs offered by the Trebas Institute, taught by experts giving students the latest industry skills to gain an edge among thousands of candidates within their respective industries.

Trebas has proudly taught more than 3,000 students from over 40 countries, which is a highly culturally enriching learning opportunity. Moreover, the Analytics, Big data, and Business intelligence program at Trebas is eligible for a post-graduation work permit, which gives students the ability to work in Canada.


Click here to learn more about the program.

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