Data Scientist Jobs in Canada

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:

• Indeed
• Monster
• LinkedIn

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.