Policy Researcher (Economics) - Digital Economy

The Policy Researcher will support the Working Party on Digital Economics, Measurement and Analysis (WPDEMA) and contribute to economic research projects on digital technologies and their economic impacts. The role involves econometric and machine-learning approaches, drafting documents, and supporting statistical standards development for digital transformation.

Responsibilities

• Contribute to economic research projects under the auspices of the WPDEMA on the diffusion of digital technologies and their impacts on key economic outcomes (e.g. competition, labour markets, productivity).
• Use econometric and machine-learning approaches, but also potentially geospatial analysis and/or natural language processing.
• Contribute to the drafting of documents, including working papers and presentations, that include quantitative analysis and modelling.
• Support WPDEMA work to develop statistical standards and definitions for digital transformation, as well as contribute to the implementation of the Going Digital Measurement Roadmap.
• Develop good working relationships with colleagues within STI and across the OECD, with economists and statisticians in national administrations, and other international organisations.
• Participate in WPDEMA and related meetings and workshops.
• Support the development of methodological documents and tools.
• Contribute to the external visibility of the DCES Division, for example by participating and presenting work at workshops, conferences, etc.

Requirements

• An advanced university degree in economics, statistics, mathematics or a closely related field.
• A minimum of two years of relevant experience performing economic analysis and strong interest in the production and/or use of advanced quantitative methodologies.
• Knowledge of statistical survey design, experimental methods for collecting data and treatment of unconventional data sources would be an advantage.
• Good ability to communicate complex results.
• Experience in project management and contributing to multidisciplinary projects.
• Familiarity with database software; a working knowledge of the main ICT databases in use at the OECD and/or in other international or national agencies would be an advantage.
• Familiarity with at least one software used to perform quantitative analysis (e.g. Stata, R, GAMS, SAS). A familiarity with Python would be an advantage.
• Good knowledge of Git for version control or a willingness to learn.
• Fluency in one of the two OECD official languages (English and French) and knowledge of the other, with a commitment to reach a good working level.
• Demonstrated behaviours aligned to OECD core competencies including Vision and Strategy, Enable People, Ethics and Integrity, Collaboration and Horizontality, Achieve Results, Innovate and Embrace Change.

Skills

• Economic Analysis
• Quantitative Methods
• Statistical Survey Methodology
• Experimental Methods
• Data Collection
• Project Management
• Multidisciplinary Project Contribution
• Database Software
• ICT Databases
• STATA
• GAMS
• SAS
• Python
• Git
• Econometrics
• Machine Learning
• Statistical Standards Development
• Policy Research
• Drafting Documents

Languages

English, French