Statistical Computing Expert (Education & Social Policy) - ThoughtBot
  • Other
description du poste

Rate :480 Euros/day

  • PhD degree in statistics, economics or social sciences, combined with a minimum of 15 years of relevant working experience in IT;
  • Minimum 10 years of specific expertise in statistical computing using R or other reproducible research tools;
  • Minimum 10 years of specific expertise in MS Office tools (Word, PowerPoint, Excel etc) and excellent knowledge of Windows-based user environments;
  • Authorship of minimum 6 peer-reviewed publications in recognized journals in the fields of education and social sciences, demonstrating analytical thinking and strong quantitative reasoning skills applied to policy-relevant topics;
  • Experience in implementation or support of large-scale, multi-user data systems for international education and social science assessments (e.g., PISA, TIMSS, ICILS, ICCS), with a focus on metadata structuring and data quality assurance;
  • Experience in information management and metadata management, including the use of open data technologies, reproducible documentation tools (e.g. R Markdown, Jupyter Notebooks, Quarto), and support for data dissemination;
  • Experience collaborating in multidisciplinary teams within international organizations with contributions to policy-related research;
  • Experience with statistical programming tools (e.g. STATA, SPSS, Matlab, SAS) and open-source platforms for data analysis, workflow automation, and documentation (e.g. R, Python, Apache Airflow);
  • Experience in managing and analyzing large-scale international education and social survey data, with emphasis on producing policy-relevant outputs;
  • Proficiency in designing and implementing reproducible workflows for statistical analysis, using open science tools and standards;
  • Good knowledge of Agile methodologies in collaborative research and policy development projects;
  • Knowledge of standards and best practices in the domain of records, archives and information management, particularly in the context of digital research documentation and open data policies;
  • Familiarity with digital preservation practices and preparation of research outputs for long-term access and public dissemination;
  • Experience in E-learning creation, writing scripts is an asset;
  • Understanding of Data Protection regulations and their impact on technical solutions will be an asset;
  • Excellent command of the English language.

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