Data Scientist

No automatable tasks identified for this role — its real, individually-assessed tasks consistently read as augmentable (75%).

• Build and evaluate models
• Engineer features from data
• Recommend data-driven solutions to key stakeholders.
• Write new functions or applications in programming languages to conduct analyses.
• Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.
• Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.
• Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
• Identify business problems or management objectives that can be addressed through data analysis.
• Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
• Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
• Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
• Clean and manipulate raw data using statistical software.
• Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
• Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
• Analyze, manipulate, or process large sets of data using statistical software.

• Frame business problems
• Design surveys, opinion polls, or other instruments to collect data.
• Identify relationships and trends or any factors that could affect the results of research.
• Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.
• Communicate findings to leaders