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◆ Statistical Journal of the IAOS2026-05-14· Context (archaeology)

How data science permeates the skills network in French official statistics

Camille Beaurepaire, François Coquet, Ronan Le Saout

原始摘要(英文原文)· Original abstract
This paper investigates the evolving role of statisticians in French official statistics in the context of the increasing availability of massive data. It addresses three key questions: the extent to which National Statistical Institutes (NSIs) identify modern data science skills as crucial, the evolution of the need for data scientists, and the essential skills for NSI workers. Through a case study of the French NSI (INSEE), the analysis of job descriptions from 2014 to 2023 reveals a gradual but uneven increase in the demand for data science skills. These skills are concentrated in statistical studies, and remain underrepresented in the statistical production line. The study highlights the importance of interdisciplinary and transferable skills and the role of academic training in preparing statisticians for evolving demands.
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