The World Bank
Data Scientist - Research & Quantitative Analysis
The World Bank, Washington, District of Columbia, us, 20022
Data Scientist - Research & Quantitative Analysis
Minimum Qualifications
Master's degree in analytical fields such as statistics, data science, computer sciences, economics, mathematics, or physics and 5 years of relevant work experience. Strong data analysis skills, preferably with experience working with socio-economic and geographic data. Technical experience in various aspects of data science; creative problem solving with strong skills in design and problem formulation; metadata standards; data curation; data acquisition, cleaning, and management; data interpretation and analysis; and the presentation and communication of reproducible results. Proven AI and machine learning expertise, with experience in NLP, deep learning, large language models, and predictive analytics. Knows the “under-the-hood” of ML models and can troubleshoot as needed. Adapt existing AI and ML models and methods to applications relevant to development data. Strong programming skills (Python and/or R) and experience with relevant libraries and frameworks. Knowledge of another international language may be an advantage but is not required. Willingness to move to Washington D.C. The position will require frequent formal and informal interaction with teams across the World Bank. Responsibilities
A technical team within that Office brings together experts in statistics, data science, data engineering, economics and econometrics, and geography to support the mission of the Chief Statistician. As a member of our technical unit, you will play a pivotal role in developing, assessing and deploying tools and best practices for applying machine learning and AI to drive positive and sustainable socio-economic impact in low-income countries. Support the application of AI/ML approaches to improve the management and dissemination of a large and diverse collection of development data. This includes the use of AI for automated metadata generation and augmentation, for data quality control, and for the development of advanced data discovery solutions and recommender systems for various data catalogs managed by the World Bank. This will require working with data producers, data curators, and data engineers both within and outside the Bank. Participate in the testing and documentation of open solutions developed for the documentation, cataloguing, and dissemination of data, including the production of user guides and training materials. Support the adoption of international best practice in data curation and dissemination, and the adoption of international metadata standards, both within and outside the Bank. Contribute to the development of interactive knowledge dissemination platforms, using AI. Participate in the assessment and development of tools and methods of predictive analytics. Contribute to the production of technical guidelines and reference materials related to the application of data science at the World Bank. Apply state-of-the-art machine learning techniques to extract insights from extensive datasets. Collaborate with a diverse, international team to identify opportunities to apply AI and machine learning to the design and monitoring of development projects. Contribute to the development, assessment, documentation, and implementation of tools and methods for nowcasting and forecasting, in close collaboration with economists, statisticians, and subject-matter specialists. Contribute to the development and assessment, documentation, and implementation of tools and methods for data fusion, with a particular focus on integrating geospatial data with survey and census microdata. Support quality control and quality assurance in all AI and ML projects and participate in reviews and assessments of World Bank application of ML/AI. Contribute to the development and delivery of ML, AI, and advanced data analytics training programs. Benefits
The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.
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Master's degree in analytical fields such as statistics, data science, computer sciences, economics, mathematics, or physics and 5 years of relevant work experience. Strong data analysis skills, preferably with experience working with socio-economic and geographic data. Technical experience in various aspects of data science; creative problem solving with strong skills in design and problem formulation; metadata standards; data curation; data acquisition, cleaning, and management; data interpretation and analysis; and the presentation and communication of reproducible results. Proven AI and machine learning expertise, with experience in NLP, deep learning, large language models, and predictive analytics. Knows the “under-the-hood” of ML models and can troubleshoot as needed. Adapt existing AI and ML models and methods to applications relevant to development data. Strong programming skills (Python and/or R) and experience with relevant libraries and frameworks. Knowledge of another international language may be an advantage but is not required. Willingness to move to Washington D.C. The position will require frequent formal and informal interaction with teams across the World Bank. Responsibilities
A technical team within that Office brings together experts in statistics, data science, data engineering, economics and econometrics, and geography to support the mission of the Chief Statistician. As a member of our technical unit, you will play a pivotal role in developing, assessing and deploying tools and best practices for applying machine learning and AI to drive positive and sustainable socio-economic impact in low-income countries. Support the application of AI/ML approaches to improve the management and dissemination of a large and diverse collection of development data. This includes the use of AI for automated metadata generation and augmentation, for data quality control, and for the development of advanced data discovery solutions and recommender systems for various data catalogs managed by the World Bank. This will require working with data producers, data curators, and data engineers both within and outside the Bank. Participate in the testing and documentation of open solutions developed for the documentation, cataloguing, and dissemination of data, including the production of user guides and training materials. Support the adoption of international best practice in data curation and dissemination, and the adoption of international metadata standards, both within and outside the Bank. Contribute to the development of interactive knowledge dissemination platforms, using AI. Participate in the assessment and development of tools and methods of predictive analytics. Contribute to the production of technical guidelines and reference materials related to the application of data science at the World Bank. Apply state-of-the-art machine learning techniques to extract insights from extensive datasets. Collaborate with a diverse, international team to identify opportunities to apply AI and machine learning to the design and monitoring of development projects. Contribute to the development, assessment, documentation, and implementation of tools and methods for nowcasting and forecasting, in close collaboration with economists, statisticians, and subject-matter specialists. Contribute to the development and assessment, documentation, and implementation of tools and methods for data fusion, with a particular focus on integrating geospatial data with survey and census microdata. Support quality control and quality assurance in all AI and ML projects and participate in reviews and assessments of World Bank application of ML/AI. Contribute to the development and delivery of ML, AI, and advanced data analytics training programs. Benefits
The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.
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