Statistician - World Bank Group
3 days ago
Join the World Bank Group as a Statistician and contribute to the development of statistical standards and methodologies for social and economic statistics. As a Statistician, you will work with a team of experts to design and implement statistical and data quality assurance processes across the organization's data outputs.
Key Responsibilities:- Contribute to the development or adaptation of statistical standards and methodologies for social and economic statistics in accordance with international best practices.
- Collaborate with other departments to ensure the implementation of robust statistical methods in the collection, processing, analysis, and dissemination of data within the Bank's decentralized data ecosystem.
- Design and implement statistical and data quality assurance processes across the organization's data outputs.
- Participate in independent evaluations concerning the statistical methods and standards utilized by the Bank for processing development data relative to best practices.
- Create tools to verify the quality of input data used by the Bank for generating statistical estimates in key Bank products.
- Develop tools for responsibly evaluating and applying innovative statistical estimation methods from academia in settings relevant to key Bank products.
- Provide expert advice on using statistical software, particularly focusing on R and/or Python.
- Contribute to training and capacity-building initiatives within the organization and with external partners.
- Participate in international forums on statistical methodologies and quality standards.
- Master's degree in Statistics, Econometrics, Social Sciences, or a related field with a significant applied and quantitative focus.
- At least 5 years of relevant professional experience or an equivalent blend of education and work experience.
- Extensive knowledge and familiarity with various applied statistical methods.
- Demonstrated expertise in developing and implementing statistical techniques and standards within social and economic contexts.
- Proven proficiency in statistical quality assurance frameworks and procedures.
- Strong understanding of survey methodologies, administrative data systems, and methods for integrating multiple data sources.
- Advanced skills in R and/or Python for data analysis, statistical modeling, and reproducible research.
- Exceptional analytical thinking, problem-solving capabilities, and meticulous attention to detail.
- Excellent communication skills in English, including the ability to convey complex statistical concepts to non-technical audiences.
- Ability to operate effectively in a multicultural, international setting and collaborate across departments and regions.
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