Automation index
How much of a Statistician’s job can AI already do?
A model and a chart come earlier. A sample that does not lie does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Statistician
26%
AI can already do 26% of this job.
#201 / 633
View rankingStatistician
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120
IS WORK OVER?
Sporting director
27%
#149 / 633
View rankingSporting director
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Squad, wages and financial fair play.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Signings, scouting and the one who does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Coach, the project and the one who burns.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Board, the fans and not selling smoke.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The injury, the window and not papering over.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Sign well, and not breaking the dressing room.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- squad
- signings
- fair play
- scouting
- wages
- the project
- dressing room
- the window
Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422