Process large amounts of data for statistical modeling and graphic analysis, using computers.
Process large amounts of data for statistical modeling and graphic analysis, using computers.
Task automation exposure
Very high exposure
Exposure basis
[v4/median] score 90 (raw 90 | A 90 / B 90 / C 90 | modality: other) Current AI and automated data science pipelines (e.g., Python/R scripts, AutoML, LLM-assisted coding) can execute data cleaning, statistical modeling, and graphic generation at professional quality with high speed and accuracy, though complex novel research design still requires (capable: Python/R data science stack, AutoML platforms, LLM-assisted coding agents)
0 capabilities · 1 occupations
Basis
How exposure was assessed
[v4/median] score 90 (raw 90 | A 90 / B 90 / C 90 | modality: other) Current AI and automated data science pipelines (e.g., Python/R scripts, AutoML, LLM-assisted coding) can execute data cleaning, statistical modeling, and graphic generation at professional quality with high speed and accuracy, though complex novel research design still requires (capable: Python/R data science stack, AutoML platforms, LLM-assisted coding agents)
How much of this task's output current AI can produce or substantially assist.
Best current model strength on any capability this task requires.
This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.
Occupations
Occupations that perform this task (1)
Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.
| Occupation | Industry | Importance | Role | Occupation AI exposure |
|---|---|---|---|---|
| Statisticians | Cross-industry | 4.1/5 | core | - |
Evidence
Evidence (0)
No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.