Collection of Data Science Job Advertisements 2017 - 2019

Version
1.0.0
Resource Type
Dataset
Creator
  • Mützel, Sophie
  • Saner, Philippe
Publication Date
2021-02-18
Publisher
  • FORS - Swiss Centre of Expertise in the Social Sciences
Classification
  • CESSDA Topics Classification:
    • Vocational education and training
    • Information technology
    • Labour and employment policy
Description
  • Abstract

    This project investigates the structure and development of data science in the Swiss labour market. In general, data science has gained significant importance in the labour market in recent years, which is reflected in an increasing number of job offers for data scientists. Synchronously, data science is framed in the general discussion primarily by means of economic interpretations, such as the diagnosis of a severe shortage of skilled workers. Companies and other organisations address specific profiles of job seekers through job advertisements for data scientists in the labour market. Through such discursive practices, formats and materializations, the various actors formulate field-specific perspectives on what constitutes "data science" for them. The analysis of job advertisements for Data Scientists makes it possible to analyse the constructions by different actors from a macroscopic point of view, but also to work out commonalities and differences between the fields involved. The data basis for the study is formed by job advertisements for data scientists, which were collected on a Swiss online job platform using web scraping methods. This resulted in an extensive corpus of text documents (N=4341), which are analysed using topic modelling, a computer linguistic method.
Temporal Coverage
  • 2017 - 2019
Geographic Coverage
  • Switzerland (CH)
  • Switzerland
Sampled Universe
The corpus is based on a full survey of all job advertisements for data scientists published on a Swiss job platform between January 2017 and June 2019. The sample comprises N = 4341 job advertisements.
Sampling
No sampling :
Time Dimension
  • Time series
Collection Mode
  • Content coding
  • Other
Note
The dataset contains job advertisements for data scientists published on a well-known Swiss job portal. The job advertisements (including job titles) are written in English, German, French and Italian (in order of frequency). The variables of the data file are in English. To avoid display problems open the .csv data file with encoding «CP-1252» or «Windows-1252/WinLatin 1»
Availability
Download
Academic research and teaching - With prior agreement of author

Update Metadata: 2021-02-18 | Issue Number: 1 | Registration Date: 2021-02-18