Data Scientists

Data Scientists typically perform the following tasks: • Analyze, manipulate, or process large sets of data using statistical software. • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use. • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods. • Clean and manipulate raw data using statistical software. • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance. • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software. • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users. • Design surveys, opinion polls, or other instruments to collect data. • Identify business problems or management objectives that can be addressed through data analysis. • Identify relationships and trends or any factors that could affect the results of research. • Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis. • Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques. • Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies. • Recommend data-driven solutions to key stakeholders. • Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest. • Write new functions or applications in programming languages to conduct analyses.