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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 or machine learning is usually required.

• 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)