career Comparison
Compare key metrics between Data Scientists and Title Examiners, Abstractors, and Searchers. Data sourced from BLS OEWS 2024 + O*NET 29.0 (2024).
| Metric | Data Scientists | Title Examiners, Abstractors, and Searchers |
|---|---|---|
| soc | 15-2051 | 23-2093 |
| title | Data Scientists | Title Examiners, Abstractors, and Searchers |
| onet code | 15-2051.00 | 23-2093.00 |
| 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. | Search real estate records, examine titles, or summarize pertinent legal or insurance documents or details for a variety of purposes. May compile lists of mortgages, contracts, and other instruments pertaining to titles by searching public and private records for law firms, real estate agencies, or title insurance companies. |
| job zone | 4 | 2 |
| major group | 15 | 23 |
| tot emp | 233,440 | 48,170 |
| a mean | 124,590 | 59,600 |
| a median | 112,590 | 54,980 |
| a pct10 | 63,650 | 36,710 |
| a pct25 | 82,630 | 45,020 |
| a pct75 | 155,810 | 70,290 |
| a pct90 | 194,410 | 87,240 |
| h mean | 59 | 28 |
| h median | 54 | 26 |
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.
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