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 on 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 data science work of 30 engineers at an international automotive supplier. Investigating three cases, the evolvement of hybrid data science work can be derived, which combines 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.

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Track 5: Data Science & Business Analytics