Data scientists identify development opportunities in an organization by locating problem areas and working on resolving them while the developers are advanced experts in programming practices for creating tech solutions. A database developer is basically in charge of the design, programming, development, and implementation of information databases. As data or information is gathered from the world outside, it needs organization for encouraging and enabling efficient generation of analysis reports etc.
Interested in a data scientist role in Canada? Read on to know about the recruitment scenario for data scientist jobs in Canada, and the different career paths graduates can pursue.
Top data scientist recruiters in Canada
The job market in Canada is filled with a varied range of MNCs and other business organizations. The top recruiters in this arena in Canada are from different sectors, as the roles and skills of these professionals are exactly what is needed for outstanding performance. These sectors include IT, healthcare, banking, retail, corporate services, consultants etc.
Some of the leading industries for data science professionals in Canada are:
- Automotive industry
- Education
- Healthcare & pharmaceuticals
- Telecommunications
- Finance & banking
- Media & entertainment
- Government jobs
- Marketing & advertising
- Small businesses including digital companies
Top Data Science job opportunities in Canada
Some of the job roles available in Canada for data scientists are –
- BI analysts – Business intelligence analysts handle the data originating from an organization and analyze them critically and insightfully to help leaders make informed business decisions. These professionals get hired by large firms around the world for data model visualization and program tools.
- Business intelligence developer – Business intelligence developers are engineers who are adept with BI software for the display of and interpretation of data for the business leaders of an organization. Graduates with excellent software engineer skills as well as data science graduates can pursue this role.
- Application architect – Application architecture plays the role of describing the behaviour of an app used in business and puts emphasis on the interaction it has with the users and with each other. Applications architects are in top demand, especially in the IT and gaming industry sectors.
- Machine learning scientist – ML scientists work on data. They build and develop machine learning models for helping devices make smarter and more complex decisions easily.
- Data mining engineer– Data mining engineers are in top demand in Canada and are responsible for the design and interpretation of data for transactional systems for high traffic. This is an excellent job after data science training in Canada.
- Big data engineer – Big data engineers are the second-highest ranked job roles in Canada after data science. Big data engineers work on finding patterns and insights from data sets derived via trends. They also develop algorithms to utilize raw data and make it useful.
- Data architect – A data architect is primarily a management discipline that is concerned with the creation, design, management, and deployment of a company’s data architecture. Data architects in Canada usually make approximately CAD 81-84,000.
The opportunities for a wonderful and satisfactory career path as a data scientist in Canada are aplenty, once you have earned the right skills and degrees. Enrol on a program today and get started.
