Company Description
The Organisation for Economic Co-operation and Development (OECD) is an international organisation comprised of 38 member countries that works to build better policies for better lives. Our mission is to promote policies that will improve the economic and social well-being of people around the world. Together with governments, policy makers and citizens, we work on establishing evidence-based international standards, and finding solutions to a range of social, economic and environmental challenges. From improving economic performance and creating jobs to fostering strong education and fighting international tax evasion, we provide a unique forum and knowledge hub for data and analysis, exchange of experiences, best-practice sharing, and advice on public policies and international standard-setting.
The Centre for Entrepreneurship, SMEs, Regions and Cities (CFE) helps local and national governments unleash the potential of entrepreneurs and small and medium-sized enterprises (SMEs), promote inclusive and sustainable regions and cities, boost local job creation, and implement sound tourism policies. It includes the Secretariat serving the Regional Policy Development Committee (RDPC) and its three Working Parties on Urban Policy, Rural Policy and Territorial Indicators and the Expert Group on Multi-level Governance, the Committee on SMEs and Entrepreneurship (CSMEE), the Tourism Committee and its Working Party on Tourism Statistics, and the Local Economic and Employment Development (LEED) Directing Committee. Within the CFE, the Local Employment, Skills and Social Innovation Division (LESI) advises governments on policies and programmes on a range of issues for the LEED Committee.
CFE is looking for a dynamic, innovative and motivated Data Scientist to join the Economics, Data and Statistics Division (EDS). Among other topics, s/he will support the Divisionโs work on place-based policies for regions, cities and rural areas, including the measurement of territorial indicators to support such policies. The chosen candidate will have a strong quantitative profile and contribute to different policy-oriented research projects of the Division. The work will include empirical analysis as well as analysis of policies and programmes at national, regional and local levels.
The selected candidate will report to the Head of the Territorial Statistics and Analysis Unit.
Job Description
Main Responsibilities
Research, policy and econometric analysis and drafting
Identify, compile, and analyse international evidence and data to inform policy analysis on Division topics in OECD member countries and beyond. This could include policy outcomes, strategies, and practices in the respective areas, as well as identification of best practices.Conduct quantitative analysis on applied economics issues using different sources of data, including territorial indicators, georeferenced data, big (geospatial) data, and micro data sets.Carry out desk research, organise and summarise complex material in a clear manner for specialist and non-specialist audiences, and develop briefing materials as needed.Draft high quality working papers, chapters in reviews or thematic reports. This includes concise technical papers and accessible briefs and reports designed for policymakers and the interested public.Draft other high-quality documents, including blogs, synthesis reports of expert discussions, seminar proceedings, and policy messages based on original empirical work and relevant published material.Ensure timeliness and a high level of analytical and editorial quality in the preparation and publication of OECD documents.Project management
Contribute to the successful planning and execution of case-study missions, meetings and workshops โ online or in situ โ for local, national and global stakeholders as needed.Contribute to drafting project proposals to support fundraising strategies.Dissemination, liaison and outreach
Contribute to the development of effective dissemination strategies of OECD work.Establish and maintain good working relationships with officials from member countries, international experts and academics.Collaborate effectively with other colleagues in the EDS Division and contribute, as required, to horizontal and multidisciplinary projects and other outputs of the CFE and the OECD.Keep abreast of new research, exploratory work and policies of relevance to CFE work, emanating from governments, other international organisations, non-governmental organisations, academia and the private sector.Participate in the organisation of other conferences, seminars and workshops organised or co-organised by the Division and CFE more widely.
Qualifications
Ideal Candidate Profile
Academic Background
Professional Background
At least two years of professional experience as a Data Scientist in the fields of applied economic analysis acquired in a policy environment or academic/research institution. Experience with quantitative analysis, including statistical analysis methods and geographic information systems.Proven experience in research and analytical activities, ability to organise and summarise complex material clearly. Experience in geospatial analysis and regional/urban/rural policies would be an asset.Experience with and/or the use of open-source software and tools for workflow management including Gitlab is an asset.Proven ability to deliver several outputs within strict deadlines with a minimum level of supervision and the ability to work under pressure.Tools
Proficiency in the use of standard software applications (MS Office).Excellent programming skills (R, Python, Stata) and statistical software.Knowledge of workflow management tools (e.g. Gitlab) and geographic information system tools is an asset.Very good knowledge of data visualisation tools and ability to communicate complex results.Core Competencies
OECD staff are expected to demonstrate behaviours aligned to six core competencies which will be assessed as part of this hiring processes: Vision and Strategy (Level 1); Enable People (Level 1); Ethics and Integrity (Level 1); Collaboration and Horizontality (Level 1); Achieve Results (Level 2); Innovate and Embrace Change (Level 2).There are three possible levels for each competency. The level for each competency is determined according to the specific needs of each job role and its associated grade.To learn more about the definitions for each competency for levels 1-3, please refer to OECD Core Competencies.Languages
Fluency in one of the two OECD official languages (English and French) and a knowledge of, or a willingness to learn, the other.Knowledge of other languages would be an asset.Additional Information
Closing Date:
This vacancy should be filled as soon as possible, and applications should reach us no later than midnight 30 April 2025 (Paris time).Contract Duration
12 months fixed-term appointment, with the possibility of renewal to a maximum of 36 months.What the OECD offers
Depending on level of experience, monthly salary starts at 5 902 EUR, plus allowances based on eligibility, exempt of French income tax.Click here to consult the Staff Regulations applicable to officials of the OECD. Please note that from 1 July 2025, all Official appointments will be made under the OECDโs new contractual modalities.Click here to learn more about what we offer and why the OECD is a great place to work. Click here to browse our People Management Guidebook and learn more about all aspects relating to people at the OECD, our workplace environment and many other policies supporting staff in their daily life.Please note that the appointment may be made at one grade lower in the specified job family, based on the qualifications and professional experience of the selected applicant.Selection Process
For retained candidates, the selection process may include a video-recorded interview, job-based assessment and panel interviews.
The OECD is an equal opportunity employer and welcomes the applications of all qualified candidates [who are nationals of OECD member countries, irrespective of their racial or ethnic origin, opinions or beliefs, gender, sexual orientation, health or disabilities.
The OECD promotes an optimal use of resources in order to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.