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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
The field of human resource management (HRM) has seen a rapid transformation in recent years due to the increasing amount of data available to organizations. As a result, the role of data science professionals in human resource management has become increasingly important. Data science professionals bring a unique set of skills to the table, including the ability to analyze large amounts of data, identify patterns and trends, and develop predictive models. In human resource management, data science professionals can use these skills to help organizations make more informed decisions about hiring, training, and retaining employees. This includes developing algorithms to identify the most qualified candidates, analyzing employee performance data to identify areas for improvement, and using predictive analytics to forecast future workforce needs. Ultimately, the role of data science professionals in HRM is to help organizations make better decisions about their most valuable asset – their people.
Keyword
Data Science, Data Science Professional, Human Resources, Employee, Hiring, Training
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