The Environmental Performance and Information Division of the Environment Directorate (ENV/EPI) is leading the development of internationally harmonised information in support of policies related to the environment and sustainable development. Specifically the Division carries out work on the Inclusive Forum on Carbon Mitigation Approaches (IFCMA) the International Programme for Action on Climate (IPAC) and broader work on environmental policy instruments (PINE) among others.
ENV/EPI is looking for an experienced Environmental Data Scientist to work on the development of environmental indicators drawing on Earth observations and other geospatial data sources notably on air pollution climate-related natural hazards biodiversity land cover change and the ocean. The selected candidate will also support the OECDs International Programme for Action on Climate. S/he will be part of a team of analysts statisticians and data scientists and will work under the supervision of a senior economist and the general guidance of the EPI Head of Division.
Main Responsibilities
Research analysis and indicators
- Undertake cutting-edge research and analysis to develop new or improved indicators on the environment and ecosystems leveraging near-real time data from Earth observation (EO) as well as complementary geospatial and geo-referenced data (administrative socioeconomic etc).
- Lead the development of methodologies for the construction of scientifically-robust and policy-relevant indicators at the national and sub-national levels allowing for regular updates (annual quarterly). Identify innovative methods and new sources of data to construct more accurate reliable and timely indicators.
- Contribute to drafting of indicator reports and technical documents such as the annual Climate Action Monitor and methodological working papers.
- Develop tools and products to disseminate indicators databases and analytical results (OECD Data Explorer Environment at a Glance etc).
- Design and produce compelling data visualisations for inclusion in OECD reports and OECD country peer reviews (e.g. EPRs).
- Stay informed on emerging research and policy developments relevant to the teams work. Contribute to the scoping of developmental projects directed at improving data quality methodological underpinnings and applications for economic research.
Collaboration & external engagement
- Present team findings to diverse audiences including policy-makers and international experts s from international organisations and research institutions.
- Collaborate with internal teams needing EO and GIS expertise within ENV and across the OECD.
- Disseminate outputs from this work by representing the OECD at external meetings contributing to publications participating in webinars etc.
- Contribute to the preparation of Division briefings the work of the Environment Policy Committee and its working parties horizontal and multidisciplinary projects within the Environment Directorate and OECD and support OECD engagement with key G20 and G7 groups when requested.
- Supervise junior staff assisting with the above tasks and ensure high quality of deliverables. Develop terms of reference and manage co-ordinate and review the work of intellectual service providers and ensure that their work proceeds effectively and according to schedule and budget.
Qualifications :
Ideal Candidate Profile
Academic Background
- An advanced post-graduate university degree (Ph.D. preferred) in remote sensing environmental sciences Earth system science environmental engineering geographic information science (GIS) or related field.
Professional Background
- Three to five years of proven experience in Earth observation systems and applied data analysis.
- Experience in GIS data management interpretation and use in developing graphical representations of the data and in the preparation of statistical documents and reports.
- Proven ability to communicate effectively and produce high quality timely relevant and accurate documents for diverse audiences.
- Good knowledge of existing datasets relevant to the environment ecosystems and natural resources in OECD countries and globally.
Technical skills
- Proficiency in relevant scripting or data analysis languages (e.g. Python R) excellent command of desktop-based GIS software (e.g. QGIS) and database management systems (PostgreSQL/PostGIS) is required.
- Strong expertise in advanced remote sensing and EO data analysis spatial data and GIS analysis.
- Proven ability to work independently and adapt to emerging statistical and computing techniques.
- Experience in data visualization with a creative approach to summarise complex datasets effectively conveying key messages to non-expert audiences.
- Familiarity with development good-practices (well-structured modular code) and version control tools (e.g. Git).
Additional Information :
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 2); Enable People (Level 1); Ethics and Integrity (Level 2); Collaboration and Horizontality (Level 2); Achieve Results (Level 2); Innovate and Embrace Change (Level 2).
- 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 knowledge of the other with a commitment to reach a good working level.
Closing Date
- This vacancy should be filled as soon as possible and applications should reach us no later thanmidnight 16 July 2025 (Paris time).
Contract Duration
- Open-ended appointment with no foreseen end date.
What the OECD offers
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.
Remote Work :
No
Employment Type :
Full-time