career Comparison
Compare key metrics between Data Scientists and Industrial-Organizational Psychologists. Data sourced from BLS OEWS 2024 + O*NET 29.0 (2024).
| Metric | Data Scientists | Industrial-Organizational Psychologists |
|---|---|---|
| soc | 15-2051 | 19-3032 |
| title | Data Scientists | Industrial-Organizational Psychologists |
| onet code | 15-2051.00 | 19-3032.00 |
| description | Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. | Apply principles of psychology to human resources, administration, management, sales, and marketing problems. Activities may include policy planning; employee testing and selection, training, and development; and organizational development and analysis. May work with management to organize the work setting to improve worker productivity. |
| job zone | 4 | 5 |
| major group | 15 | 19 |
| tot emp | 233,440 | 1,050 |
| a mean | 124,590 | 134,400 |
| a median | 112,590 | 109,840 |
| a pct10 | 63,650 | 51,880 |
| a pct25 | 82,630 | 80,790 |
| a pct75 | 155,810 | 198,170 |
| a pct90 | 194,410 | 224,590 |
| h mean | 59 | 64 |
| h median | 54 | 52 |
The CertifyWize editorial team aggregates and verifies careers data from BLS OEWS 2024 + O*NET 29.0. Every statistic on this site is cross-referenced against the official source before publication, with quarterly re-verification cycles.
Read our full methodology or contact us with corrections.