IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-031-80122-8_12.html
   My bibliography  Save this book chapter

How Engineers Perform Data Science Work: Designing Hybrid Roles

In: Solutions and Technologies for Responsible Digitalization

Author

Listed:
  • Amelie L. Schmid

    (TU Dortmund University
    Robert Bosch GmbH)

  • Manuel Wiesche

    (TU Dortmund University)

Abstract

As of today, organizations are still struggling to derive consistent value from data science projects. The basic relevance of domain knowledge for data science work can be considered as common sense. Engineers, in particular, offer a unique view of emerging data science work based on their critical role within traditional industries. As a constraint, current studies on data science work consider domain experts as rather passive, and engineering-related studies are rare. To further explore these challenges, the present study analyses the data science work of 30 engineers at an international automotive supplier. By investigating three cases, the evolvement of hybrid data science work can be derived, by combining two perspectives: engineering and data science. Thus, engineers actively incorporate the data science perspective, particularly when development activities involve minimal participation of data scientists. This contribution significantly enhances existing knowledge by demonstrating how engineers embrace the data scientists’ perspective and perform hybrid data work.

Suggested Citation

  • Amelie L. Schmid & Manuel Wiesche, 2025. "How Engineers Perform Data Science Work: Designing Hybrid Roles," Lecture Notes in Information Systems and Organization, in: Daniel Beverungen & Christiane Lehrer & Matthias Trier (ed.), Solutions and Technologies for Responsible Digitalization, pages 183-199, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-80122-8_12
    DOI: 10.1007/978-3-031-80122-8_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnichp:978-3-031-80122-8_12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.