National Occupational Classification (NOC) 2021 Version 1.0
- 2 - Natural and applied sciences and related occupations
- 21 - Professional occupations in natural and applied sciences
- 212 - Professional occupations in applied sciences (except engineering)
- 2121 - Mathematicians, statisticians, actuaries and data scientists
21211 - 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.
- data scientist
- machine learning engineer
- machine learning specialist
- quantitative analyst
- artificial intelligence (AI) analyst
- artificial intelligence (AI) consultant
- artificial intelligence (AI) designer
- Computer and information systems managers (See 20012 Computer and information systems managers)
- Computer engineers (except software engineers and designers) (See 21311 Computer engineers (except software engineers and designers))
- Database analysts and data administrators (See 21223 Database analysts and data administrators)
- Information systems specialists (See 21222 Information systems specialists)
- Mathematicians, statisticians and actuaries (See 21210 Mathematicians, statisticians and actuaries)
- Software engineers and designers (See 21231 Software engineers and designers)
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
- 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.
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