21211
Canada Moderate
Data scientists
Data scientists use advanced analytics technologies, including machine learning and predictive modelling, to support the identification of trends, scrape information from unstructured data sources and provide automated recommendations. They are employed by consulting firms, universities, banks and information technology departments in the public and private sectors.
Employment Outlooks
Economic Region Outlooks
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Salary Information
National wage data for this occupation
Entry-level
CA$30.00
/hr
Typical
CA$46.15
/hr
Experienced
CA$69.74
/hr
Average: CA$48.93/hr
94.2% of workers in this occupation receive non-wage benefits
Source: Job Bank Canada. Wages may vary by region and experience.
Examples
Illustrative Examples
- data scientist
- machine learning engineer
- machine learning specialist
- quantitative analyst
All Examples
- artificial intelligence (AI) analyst
- artificial intelligence (AI) consultant
- artificial intelligence (AI) designer
- artificial intelligence analyst
- artificial intelligence consultant
- big data analyst
- big data developer
- big data engineer
- data analytics consultant
- data analytics specialist
- data architect
- data engineer
- data miner
- data mining analyst
- data modeler
- data scientist
- lead data scientist
- machine learning engineer
- machine learning specialist
- quantitative analyst
Main Duties
Main Duties
- This group performs some or all of the following duties:
- Implement cutting-edge techniques and tools in machine learning, deep learning and artificial intelligence to make data analysis more efficient
- Perform large-scale experimentation to identify hidden relationships between variables in large datasets
- Create advanced machine learning algorithms such as regression, simulation, scenario analysis, modeling, clustering, decision trees and neural networks
- Prepare and extract data using programming language
- Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems
- Visualize data in a way that allows a business to quickly draw conclusions and make decisions
- Develop artificial intelligence models and algorithms and implement them to meet the needs of the organization
- Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data
Requirements
Employment Requirements
- A bachelor's degree in statistics, mathematics, computer science, computer systems engineering or a related discipline or completion of a college program in computer science is usually required.
- A master's or doctoral degree in machine learning, data science, or a related quantitative field is usually required.
- Experience in programming is usually required.
- Experience in statistical modelling and machine learning is usually required.