Statistical Computing Expert (Education & Social Policy) - ThoughtBot
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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;