Abstract
The paper first looks at the benefits of well-known roles and then discusses the relative lack of structured roles within the data science community, possibly because of the field’s novelty. The paper reports extensively on five case studies which discuss five separate attempts to establish a standard set of roles. The paper then leverages the findings of these case studies to discuss the use in online job posts for data science positions. While some positions often appeared, such as data scientist and software engineer, no role in all five case studies was regularly used. The paper concludes, however, by acknowledging the need to build a structure for data science workforce that students, employers, and academic institutions can use. This framework would allow organizations to more accurately employ their data science teams with the desired skills.
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Patil, T., Bhavsar, A.K. (2021). Data Science Team Roles and Need of Data Science: A Review of Different Cases. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_2
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DOI: https://doi.org/10.1007/978-981-15-4474-3_2
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