An Empirical Analysis of Requirements for Data Scientists Using Online Job Postings
数据科学
计算机科学
工程类
作者
John Yohahn Kim,Choong Kwon Lee
出处
期刊:International Journal of Software Engineering and its Applications [Global Vision Press] 日期:2016-04-30卷期号:10 (4): 161-172被引量:40
标识
DOI:10.14257/ijseia.2016.10.4.15
摘要
A data scientist is a relatively new job title and is not yet fully defined or understood. Little research has been conducted on data scientists and there is still incongruity among its practitioners. Yet, the job market for data scientists is already active with high demand. Many companies have created their own definition of a data scientist based on their own needs. The purpose of this research is to explore the definition of a data scientist by examining how it is accepted in these industries and businesses. A content analysis of 1,240 job ads from various companies recruiting data scientists was conducted to identify what types of knowledge and skills were generally demanded. As a result, we found that data scientists were expected to be highly experienced professionals with advanced degrees. The main requisite areas of profession were statistics, modeling, machine learning, and analysis.