This TechTarget article explains how data scientists and data engineers differ.
The sexiest job of 21st century
This article discusses demand for data scientists and their role in business analytics.

About The sexiest job of 21st century
This is a 2012 Harvard Business Review article by Thomas H. Davenport and DJ Patil, published in the October 2012 issue. It argues that demand for data scientists has outpaced supply as companies work with large and varied volumes of information. It describes what data scientists do: they structure data, find patterns in it, advise executives on what the findings mean for products, processes, and decisions, and communicate the results. The article uses a fraud case and a LinkedIn example to illustrate this work.
The article also covers practical hiring questions for organizations: where to look for data scientists, how to attract and develop them, and how to recognize a strong one. It is an essay, not a software tool, and the source does not provide pricing.
Key features
- Explains the demand for data scientists in business analytics
- Describes how data scientists structure and find patterns in unstructured data
- Gives an example of applying a DNA sequencing approach to a fraud problem
- Covers where organizations can look for data scientists
- Discusses how to attract and develop data scientists
- Explains how to identify a strong data scientist
- Includes a concrete case study showing how a data scientist approached a fraud problem
- Covers hiring, development, and evaluation of data scientists in one article
- Written by authors with stated professional backgrounds in data and analytics
The sexiest job of 21st century at a glance
- Category
- Search & Reference › Articles & Essays
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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