Overview
The role of Data Scientist involves contributing to workstreams on benchmarking societal progress in OECD member countries, focusing on data infrastructure development, visualization, and policy analysis.
Key Responsibilities
- Design, develop and maintain automated data pipelines for the OECD How’s Life? well-being database.
- Manage regular data updates for the How’s Life? database and the Better Life Index.
- Coordinate data collection for the Committee on Statistics and Statistical Policy.
- Assess potential application of emerging data science and AI tools.
- Maintain and further develop the OECD Well-being Data Monitor.
- Create data visualisations to enhance visibility and uptake of outputs.
- Engage with communities of practice to share expertise.
- Provide training and technical guidance on data science best practices.
- Analyse and draft for selected statistical and policy publications.
- Analyse well-being outcomes using statistical techniques.
- Present findings and policy implications to stakeholders.
- Project management of analysis, drafting and publication processes.
Required Experience
- At least four years of relevant experience on applied policy research and/or data science.
- Experience conducting econometric analysis and working with microdata.
- Proven track record in developing and maintaining scalable data infrastructure and automated workflows.
- Demonstrated subject matter expertise in well-being-related topics is desired.
Qualifications
An advanced university degree in Economics, Statistics, Data Science, or a related field with a strong quantitative focus.