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

“Write new functions or applications in programming languages to conduct analyses.” is a task performed by Data Scientists. Among the occupation's 16 rated tasks, workers place it 1st by importance (#16 most important).

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Program computer systems or production equipment. in Working with Computers

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E1. Direct exposure — a language model could plausibly cut the time to do this task by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 1.00. Automation potential label: T3.

Other tasks in this occupation

• 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.

See all tasks on the Data Scientists page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-21838,
  title  = {Write new functions or applications in programming languages to conduct analyses.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-21838}
}