21211 – 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 private and public sectors.
Profile
Index of titles
Artificial intelligence (AI) analyst
Artificial intelligence (AI) consultant
Artificial intelligence (AI) designer
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
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
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 or machine learning is usually required
Additional information
Exclusions
Computer and information systems managers (20012)
Computer engineers (except software engineers and designers) (21311)
Mathematicians, statisticians and actuaries (21210)
Information systems specialists (21222)
Database analysts and data administrators (21223)
Software engineers and designers (21231)
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