What is a Data Scientist? Analysis of core soft and technical competencies in job postings

Carolina Coelho da Silveira, Carla Bonato Marcolin, Matheus da Silva, Jean Carlos Domingos

Resumo


The advancement of technologies has enabled companies to transform a large amount of data generated into important information for making strategic decisions. With this, the Data Scientist has been demanded as a piece of fundamental value for the organization. However, the skills necessary for this professional to work in the market are not yet consolidated in the literature. This research aims to map and analyze the soft skills and technical competencies of Data Scientists through a descriptive approach, using both a qualitative and quantitative typology. By collecting job postings, it was possible to verify that most companies are not concerned with the candidate’s degree and educational level, but with the necessary soft skills and technical competencies. In this sense, the trend is to value a multidisciplinary profile. Among the most important skills for these professionals are Good Communications, Team Player, Problem Solver, Python, English, and SQL. We compilated the main skills aiming to contribute to the profile of the Data Scientist, that is still something new to be understood both by companies and by the literature.


Palavras-chave


Data Scientist; Professional Competences; Data Analysis; Big Data

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DOI: https://doi.org/10.5585/iptec.v8i1.17263

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