Will “Machine Learning Scientist” be Automated?

Core Skills & Abilities

• Test, validate, and reformulate models to ensure accurate prediction of outcomes of interest.

• 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.

• Analyze, manipulate, or process large sets of data using statistical software.

• Design surveys, opinion polls, or other instruments to collect data.

• Write new functions or applications in programming languages to conduct analyses.

• Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.

• Identify relationships and trends or any factors that could affect the results of research.

• Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.

• Clean and manipulate raw data using statistical software.

• Recommend data-driven solutions to key stakeholders.

• Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.

• Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.

• Read scientific articles, conference papers, or other sources of research to identify emerging analytic trends and technologies.

• Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.

• Identify business problems or management objectives that can be addressed through data analysis.