Resumen

GUIMARAES, André José Ribeiro; MENDES JUNIOR, Ricardo  y  FREITAS, Maria do Carmo Duarte. Requirements for Data Science: analyzing job postings with text mining. RISTI [online]. 2022, n.46, pp.54-70.  Epub 30-Jun-2022. ISSN 1646-9895.  https://doi.org/10.17013/risti.46.54-70.

This research identifies in job postings the requirements for data scientists in Brazil. To analyze these documents, it adopts text mining methods of analysis: n-gram, topic modeling, and clustering. The findings point to a concentration of job opportunities in São Paulo while demonstrating that the remote modality is the second most offered. Additionally, it highlights that salaries in Brazil are below the average of other countries, even if organizations look for experienced professionals with an elevated level of education. About the requirements, there is a predominance of technical skills such as machine learning, statistical models, python, and database, among others. The results also demonstrate that n-gram and clustering are more suitable for text mining techniques than topic modeling.

Palabras clave : Data scientist; Text mining; Requirements for data scientist; Competencies.

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