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What Is Required to Be a Data Scientist?: Analyzing Job Descriptions With Centering Resonance Analysis

Author

Listed:
  • Filipe Baumeister

    (PUC Minas, Brazil)

  • Marcelo Werneck Barbosa

    (Universidad Autónoma de Chile, Chile)

  • Rodrigo Richard Gomes

    (PUC Minas, Brazil)

Abstract

This study characterized required skills and competences for data specialist roles by analysing job advertisements for data scientists and other related professionals. It was performed using a content analysis technique named centring resonance analysis (CRA). With the support of this technique, demanded skills were grouped into categories that allow a better understanding of each role as well as differences and similarities among roles were observed and analysed. This study also summarized our findings in an orientation framework to classify six data specialists' roles according to business and technical skills as well as to experience and educational demands. Professional experience seems, in general, to be more valued than academic background. This work sheds light on better differentiating job roles related to data science, which could guide companies that recruit such specialists by better defining job requirements. For universities, these findings support the development of new analytics and data science programs.

Suggested Citation

  • Filipe Baumeister & Marcelo Werneck Barbosa & Rodrigo Richard Gomes, 2020. "What Is Required to Be a Data Scientist?: Analyzing Job Descriptions With Centering Resonance Analysis," International Journal of Human Capital and Information Technology Professionals (IJHCITP), IGI Global, vol. 11(4), pages 21-40, October.
    • Handle: RePEc:igg:jhcitp:v:11:y:2020:i:4:p:21-40
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    Cited by:

    1. Pinto, Marcelo Rezende & Salume, Paula Karina & Barbosa, Marcelo Werneck & de Sousa, Paulo Renato, 2023. "The path to digital maturity: A cluster analysis of the retail industry in an emerging economy," Technology in Society, Elsevier, vol. 72(C).
    2. Olivera Marjanovic & Greg Patmore & Nikola Balnave, 2023. "Visual Analytics: Transferring, Translating and Transforming Knowledge from Analytics Experts to Non-technical Domain Experts in Multidisciplinary Teams," Information Systems Frontiers, Springer, vol. 25(4), pages 1571-1588, August.
    3. Isabelle Wrase, 2023. "An Analysis of Sustainability in Real Estate in Job Advertisements and Personal Profiles in Switzerland," Sustainability, MDPI, vol. 15(12), pages 1-19, June.

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