Data scientists

Example job titles

• 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 and machine learning is usually required.

Approved positions by year