# Tasks & work activities — computer vision engineer

Source: O*NET 30.3, occupation 15-2051.00 (Data Scientists).

## Task statements

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

## Detailed work activities

- Advise others on analytical techniques.
- Analyze business or financial data.
- Analyze data to identify or resolve operational problems.
- Analyze data to identify trends or relationships among variables.
- Analyze data to inform operational decisions or activities.
- Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
- Determine appropriate methods for data analysis.
- Develop procedures to evaluate organizational activities.
- Develop scientific or mathematical models.
- Prepare analytical reports.
- Prepare data for analysis.
- Prepare graphics or other visual representations of information.
- Present research results to others.
- Select resources needed to accomplish tasks.
- Update technical knowledge.
- Write computer programming code.