Data Scientist

The Data Scientist will contribute to the OECD WISE Centre's workstreams on benchmarking societal progress beyond traditional macroeconomic indicators, including managing the How’s Life? well-being database and developing data visualizations for policy impact. The role involves data infrastructure development, policy analysis, and capacity building within the OECD.

Responsibilities

• Design, develop and maintain automated data pipelines (backend and frontend) for the OECD How’s Life? well-being database on the OECD Data Explorer, ensuring robust quality assurance processes
• Manage regular data updates (at least quarterly) for the How’s Life? database and the Better Life Index
• Coordinate the data collection process for the Committee on Statistics and Statistical Policy, including drafting requests and engaging with national statistical offices
• Stay abreast of emerging data science and AI tools and methods, and assess their potential application to well-being data infrastructure, visualisation and analysis
• Maintenance and further development of the OECD Well-being Data Monitor, the WISE Centre’s interactive well-being data hub, including front-end design, integration with the Data Explorer backend, and alignment with the OECD’s web architecture
• Create compelling and accessible data visualisations to enhance the visibility and uptake of WISE Centre outputs among policy makers and other stakeholder groups, ensuring scalability across knowledge products
• Closely collaborate with the WISE communications team and other OECD communications units as needed
• Engage with relevant communities of practice within the OECD’s data science network to share expertise and contribute to innovation
• Provide training and technical guidance to the WISE team on best practices in data science, automation, and data visualization
• Analysis and drafting for selected WISE statistical and policy publications related to well-being topics
• Analyse well-being outcomes using statistical techniques, including econometric modelling and microdata analysis, across economic, social, and environmental domains, and identify trends that merit policy attention
• Present findings and policy implications to internal and external stakeholders, including national governments and international partners
• Project management, supported by the Head of Unit, of the analysis, drafting and publication process of these WISE knowledge products

Requirements

• An advanced university degree in Economics, Statistics, Data Science, or a related field with a strong quantitative focus
• 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
• Strong proficiency in R (preferred) or similar statistical programming languages
• Experience with version control systems (e.g. Git)
• Familiarity with web development (e.g. JavaScript) and data viz tools
• Familiarity with, or interest in, AI-assisted data analysis and automation tools (e.g. use of large language models for code development, data cleaning, or drafting support)
• Strong drafting skills in English, with demonstrated experience in applied policy research
• Openness to adopting new technologies and workflows, including AI-assisted tools, to improve productivity and analytical rigor
• Fluency in one of the two OECD official languages (English and French) and a knowledge of, or a willingness to learn, the other

Skills

• Econometric Analysis
• Microdata Analysis
• Data Infrastructure
• Automated Workflows
• R Programming
• Statistical Programming
• Version Control Systems
• Git
• Website Development
• JavaScript
• Data Visualization
• AI-assisted Data Analysis
• Policy Research
• Drafting Skills
• Applied Policy Research
• Data Cleaning
• Large Language Models

Languages

English, French