Overview
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.
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