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An Empirical Analysis of Requirements for Data Scientists Using Online Job Postings

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Data
  3.1. Collection Method
  3.2. Collection Results
  3.3. Categorization
  3.4. Coding
 4. Results
  4.1. Basic Analysis
  4.2. Analysis of Knowledge and Skills
  4.3. Word Frequency Analysis
  4.4. Hard vs. Soft Knowledge and Skills
 5. Implications and Conclusions
 References

저자정보

  • John Yohahn Kim New Media Team, Daeguilbo Newspaper
  • Choong Kwon Lee Dept. of Management Information Systems, Keimyung University

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