IS WORK OVER?

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

Statistician

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.

TaskShareAIPoints
Model, clean and visualise.
Estimate

No public source provides a precise figure. This is our estimate.

20%48%+9.6
Design sample, experiment and biases.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Client, questions and not overfitting.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Reproducibility, code and documentation.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Publication, review and data ethics.
Estimate

No public source provides a precise figure. This is our estimate.

16%16%+2.6
Not selling a p-value that does not hold.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%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

Last-mile manager

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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

Analyse my job

Jobs with similar scores

  1. 198Web developer26%
  2. 199Game designer26%
  3. 200Set designer26%
  4. 202Cultural manager26%
  5. 203Screenwriter26%
  6. 204Structural engineer26%