SciELO - Scientific Electronic Library Online

 
 número46Revisión sistemática de instrumentos de evaluación de calidad de objetos de aprendizajeAgile Short Unified Process - ASUP: Uma metodologia híbrida apoiada na adaptação do framework Scrum e do modelo Unified Process índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação

versão impressa ISSN 1646-9895

Resumo

GUIMARAES, André José Ribeiro; MENDES JUNIOR, Ricardo  e  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.

Palavras-chave : Data scientist; Text mining; Requirements for data scientist; Competencies.

        · resumo em Português     · texto em Português     · Português ( pdf )