Ambiguity With Building Data Science Profession Team Roles and The Need for a Framework |
Author(s): |
| Nisha Mohan P.M , Mount Zion Institute of Science and Technology; Deepthy S, Mount Zion College of Engineering; Simi Elizabeth Jacob, Mount Zion College of Engineering; Vidya Vijayan, Mount Zion College of Engineering; Betty Mary Jacob, Mount Zion College of Engineering |
Keywords: |
| Data Science, Framework |
Abstract |
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Data Science requires a multi-disciplinary approach with a link to Big Data and data driven technologies. The paper provides how the proposed EDSF can be used for designing effective Data Science and reports the experience of implementing EDSF. The benefits of well-defined roles and then discusses the lack of standardized roles within the data science community. It reports on five case studies exploring five different attempts to define a standard set of roles. These case studies explore the usage of roles from an industry perspective as well as from national standard big data committee efforts. These case studies to explore the use of data science roles within online job. Some roles appeared, such as data specialist and data engineer, no role was used across all five case studies. Hence, the paper by noting the need to create a data science workforce framework that could be used by students, employers, and academic institutions. |
Other Details |
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Paper ID: IJSRDV8I90019 Published in: Volume : 8, Issue : 9 Publication Date: 01/12/2020 Page(s): 41-43 |
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