The importance of data scientists has grown across sectors in the big data era. Canada provides a plethora of prospects for proficient people in this domain due to its diversified economy and flourishing digital ecosystem. Let’s explore the employment landscape for data scientists in Canada, covering recruiting practices, job portals, compensation trends, and other related topics.
The role of a data scientist typically encompasses a wide range of responsibilities related to extracting insights and value from data.
Here’s a breakdown of some common roles and responsibilities of a data scientist:
- Data Collection and Cleaning: Data scientists gather data from various sources and ensure its quality through cleaning and preprocessing.
- Exploratory Data Analysis (EDA): Data scientists explore datasets using statistical and visualization techniques to understand patterns and anomalies.
- Statistical Modeling and Machine Learning: Data scientists build predictive models by selecting algorithms, engineering features, and optimizing model performance.
- Data Visualization: Data scientists communicate insights effectively using visualization tools like Matplotlib, Seaborn, Tableau, or Power BI.
- Feature Engineering: Data scientists select and transform relevant features to improve model performance.
- Model Deployment and Integration: Data scientists deploy models into production environments and integrate them with existing systems.
Companies Hiring Data Scientists:
Shopify
Requirements:
- Advanced degree in Computer Science, Statistics, or related field
- Proficiency in programming languages such as Python, R, or SQL
- Experience with machine learning algorithms and data visualization techniques
Apply Here: Careers
RBC (Royal Bank of Canada)
Requirements:
- Strong analytical skills and problem-solving abilities
- Experience with data mining, predictive modeling, and statistical analysis
- Familiarity with tools like TensorFlow, Spark, or Hadoop
Apply Here: Careers
Amazon Canada
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field
- Proficiency in machine learning libraries such as scikit-learn or TensorFlow
- Experience in developing and deploying machine learning models at scale
Apply Here: Careers
Microsoft Canada
Requirements:
- Advanced degree in Computer Science, Statistics, or related field
- Proficiency in programming languages such as Python, R, or Java
- Experience in developing AI/ML solutions and cloud computing platforms
Apply Here: Careers
TD Bank Group
Requirements:
- Strong analytical and problem-solving skills
- Experience in data analysis, modeling, and visualization
- Familiarity with big data technologies such as Hadoop, Spark, or Kafka
Apply Here: Careers
IBM Canada
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field
- Proficiency in statistical analysis tools and programming languages like Python or R
- Experience with AI/ML frameworks and data processing technologies
Apply Here: Careers
NVIDIA Canada
Requirements:
- Advanced degree in Computer Science, Mathematics, or related field
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Caffe
- Experience in GPU computing and parallel processing
Apply Here: Careers
Bell Canada
Requirements:
- Proficiency in statistical analysis and data mining techniques
- Experience in developing predictive models and data-driven insights
- Strong communication and collaboration skills
Apply Here: Careers
Deloitte Canada
Requirements:
- Bachelor’s or Master’s degree in Analytics, Statistics, or related field
- Experience in data wrangling, exploratory data analysis, and predictive modeling
- Proficiency in programming languages like Python, R, or SAS
Apply Here: Careers
Scotiabank
Requirements:
- Strong analytical skills and attention to detail
- Experience in data mining, statistical modeling, and predictive analytics
- Knowledge of machine learning algorithms and tools
Apply Here: Careers
CIBC (Canadian Imperial Bank of Commerce)
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field
- Proficiency in programming languages like Python, R, or Java
- Experience in developing and deploying machine learning models
Apply Here: Careers
SAP Canada
Requirements:
- Advanced degree in Computer Science, Statistics, or related field
- Proficiency in machine learning algorithms and statistical analysis techniques
- Experience with big data technologies such as Hadoop, Spark, or Apache Flink
Apply Here: Careers
Facebook Canada
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field
- Experience in developing and deploying machine learning models at scale
- Proficiency in programming languages such as Python, R, or Java
Apply Here: Careers
Accenture Canada
Requirements:
- Strong analytical and problem-solving skills
- Experience in data analytics, visualization, and modeling
- Knowledge of machine learning algorithms and AI technologies
Apply Here: Careers
Rogers Communications
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field
- Proficiency in programming languages such as Python, R, or Scala
- Experience with data mining, predictive modeling, and machine learning techniques
Apply Here: Careers
Job Portals
Thanks to specialized job sites, it’s easy to find Data Scientist jobs in Canada. Several well-liked gateways to check out are:
Salary of a Data Scientist
Experience, region, and sector are some of the variables that affect a data scientist’s pay in Canada. In Canada, the average salary for a data scientist is between CAD 70,000 to CAD 120,000 annually, with potential for higher pay in IT hotspots like Toronto, Vancouver, and Montreal.
Experience Wise Salary Trend
Data scientists usually see an increase in pay as they gain expertise. An overview of pay trends based on experience levels is provided below:
- Entry-Level (0-2 years): CAD 70,000 – CAD 90,000 per year
- Mid-Level (3-5 years): CAD 90,000 – CAD 110,000 per year
- Senior-Level (6+ years): CAD 110,000 – CAD 120,000+ per year
Data Scientist Jobs in Canada- FAQs:
What qualifications are necessary for a position as a data scientist?
Proficiency in programming languages, statistical analysis, machine learning algorithms, and data visualization approaches are essential competencies for data scientists.
Is a master’s degree required in Canada to work as a data scientist?
While a Master’s degree has its advantages, many employers also look for Data Scientists with appropriate work experience or qualifications, as well as a Bachelor’s degree in related subjects.
Which Canadian industries are employing data scientists?
There is a need for data scientists in Canada in a number of sectors, including telecommunications, technology, banking, healthcare, and e-commerce.