How Engineers Perform Data Science Work: Designing Hybrid Roles
Amelie L. Schmid () and
Manuel Wiesche ()
Additional contact information
Amelie L. Schmid: TU Dortmund University
Manuel Wiesche: TU Dortmund University
A chapter in Solutions and Technologies for Responsible Digitalization, 2025, pp 183-199 from Springer
Abstract:
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.
Keywords: Data science work; Data scientists; Engineers; Hybrid practice; Transformation of work (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-80122-8_12
Ordering information: This item can be ordered from
http://www.springer.com/9783031801228
DOI: 10.1007/978-3-031-80122-8_12
Access Statistics for this chapter
More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().