Policy Data Scientist & Analyst

OECD - Organisation for Economic Co-operation and Development; Paris; On-site; EUR 54,000 - 64,000; Full time

Job summary

The Economics Department at OECD is recruiting for statisticians to cover the full cycle of data collection, management, analysis and dissemination. The role emphasizes producing high-quality policy-relevant statistics, developing reproducible data pipelines, and presenting complex results to diverse audiences.

Candidates should have an advanced degree in a relevant field, experience with macro- and micro-level datasets, and proficiency in R, Python or STATA, with familiarity in AI-assisted

Qualifications

• Advanced degree in statistics, economics, mathematics, engineering or a related field.
• Experience producing and using statistics with documentation on sources, definitions and comparability.
• Knowledge of econometric techniques and presenting analyses to non-technical audiences.
• Experience with large statistical databases and private-sector data sources is a plus.

Responsibilities

• Data collection and dataset management across OECD member and non-member countries.
• Develop automated data-processing workflows and AI-assisted methods where appropriate.
• Verify data quality and consistency using validation procedures and quality tools.
• Manage statistical databases ensuring accessibility and reproducibility for analysis and dissemination.
• Develop data solutions and analytical tools to support policy research and economic analysis.
• Draft publications and charts to communicate findings clearly to policymakers.

Skills

Statistics

R

Python

STATA

Excel

AI tools

Education

Advanced degree in statistics/economics/math

Tools

R

Python

STATA

MatLab

Eviews

VBA

Excel (macros & pivot)

Job description

The Economics Department at OECD is recruiting for statisticians to cover the full cycle of data collection, management, analysis and dissemination. The role emphasizes producing high-quality policy-relevant statistics, developing reproducible data pipelines, and presenting complex results to diverse audiences.

Candidates should have an advanced degree in a relevant field, experience with macro- and micro-level datasets, and proficiency in R, Python or STATA, with familiarity in AI-assisted