Description

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.

Job Titles

• Data architect
• Data scientist
• Machine learning engineer
• Machine learning specialist
• Quantitative analyst

Main 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

Workplaces

• Banks
• Consulting businesses
• Information technology departments in the private and public sectors
• Universities

Skills

• Digital Literacy
• Numeracy
• Systems Analysis
• Critical Thinking
• Decision Making

Abilities

• Categorization Flexibility
• Deductive Reasoning
• Fluency of Ideas
• Inductive Reasoning
• Information Ordering

Personal Attributes

• Analytical Thinking
• Attention to Detail
• Innovativeness
• Active Learning
• Adaptability

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Source: OaSIS