Data Scientist
Apply NowCompany: The World Bank Group
Location: Washington, DC 20011
Description:
Data Scientist
Job #:
req32032
Organization:
World Bank
Sector:
Economics
Grade:
GF
Term Duration:
3 years 0 months
Recruitment Type:
International Recruitment
Location:
Washington, DC,United States
Required Language(s):
English, Spanish
Preferred Language(s):
Closing Date:
3/6/2025 (MM/DD/YYYY) at 11:59pm UTC
Description
Do you want to build a career that is truly worthwhile? Working at the World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 120 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit www.worldbank.org
Poverty Global Practice
The Poverty and Equity Global Practice, part of the Prosperity Vertical, plays a key role in supporting the World Bank Group's goals of ending extreme poverty and boosting shared prosperity. It generates knowledge and dialogue and supports operational solutions, focusing on poverty monitoring and statistical capacity building, markets and institutions, fiscal and social policy, and resilience to shocks and sustainability. The practice is organized into seven regionally-oriented units-EAP, ECA, LAC, MNA, SAR and two in AFR-each managed by a Practice Manager. The development and flow of global knowledge within the practice is facilitated through five cross-cutting thematic lines, each of which is led by a thematic Global Lead Economist. These are: (1) data for policy analysis; (2) markets and institutions for poverty reduction and shared prosperity; (3) fiscal and social policy for poverty reduction and shared prosperity; (4) welfare implications of fragility and conflict risks; and (5) welfare implications of climate change. Every member of the practice is affiliated with, participates in and contributes to the work of at least one of the thematic lines.
Latin America and the Caribbean (LAC) Statistics Team
The main objective of the Statistics Team of the Poverty and Equity Practice at the LAC region is to help form the regional narrative on poverty and inequality, by increasing the quality, availability, and use of indicators and micro-data in LAC. Some key functions of the Statistics team are:
1)Review and harmonize household surveys for the LAC region.
2)Estimate relevant regional indicators for welfare monitoring, maintain a repository of existing data for each country, and keep a historical record of how inequality and poverty estimates have been generated across time.
3)Integrate the dialogue on data and statistics for the region and identify synergies across teams to minimize duplications.
4)Ensure basic data collection standards are implemented across countries to ensure quality.
5)Produce meaningful analytics using this data to inform evidence-based policy making.
6)In collaboration with the Global team and other practices, identify innovations for improving welfare monitoring.
7)Support global poverty monitoring efforts.
Duties and Accountabilities:
The selected candidate will be based in Washington, DC. The LAC Poverty and Global Practice is seeking to recruit a data scientist with knowledge and experience in social sector indicators and analysis, strong quantitative methods, and advanced programing skills. In particular, the candidate will have the following duties:
1)Lead and contribute to LAC statistics team activities,and supervise a team of consultants' part of the Statistics team.
2)Conduct quality assessments and analyses of poverty and inequality indicators; reviewing and preparing technical notes and presentations related to poverty, multidimensional poverty, shared-prosperity, inequality data; participate in workshops and training events.
3)Lead the expansion and improvement of the systematization of harmonization protocols and analytical tools for poverty, equity, and geospatial analytics in LAC.
4)Identify opportunities to innovate, use AI, Machine learning and Big Data techniques in developing and implementing solutions for World Bank Poverty and Equity analytical works and projects, including through non-traditional data sources.
5)Support poverty programs in selected LAC countries engaged in operational work with clients to design and deliver innovative analytical work, capacity building services, and technical assistance using recent development in technologies and methods.
6)Build partnerships with other groups in the WB, including DEC teams and other GPs on poverty, shared prosperity and equity monitoring issues and applications using recent technologies and methods.
7)Disseminate knowledge gained to country and regional teams in the practice, increasing the use of web-based visualizations on these indicators to tell clear stories.
8)Participate in activities and exchange information with other World Bank teams working on similar issues across sectors and Global Solution Groups.
9)Like all members of the Poverty global practice, the data scientist will also be expected to contribute to the global knowledge base of the practice.
Selection Criteria
A Master's degree in Economics, Statistics or Computer Science or a closely related field, with a minimum of five years' relevant experience, or equivalent combination of education and experience.
In-depth knowledge on poverty measurement and analysis using household survey data, including the use of sampling weights, the construction and analysis of consumption aggregates, the derivation of absolute poverty lines, the estimation of poverty/inequality and welfare measures, and related econometric techniques; experience with country poverty programs and regional statistics programs is desirable.
Good understanding of the relationships between poverty and other indicators of well-being.
Experience building or working with interconnected IT architectures featuring i) interactive user interfaces, ii) various data sources, iii) automation of data generation and layout production processes, iv) workflow management, v) linkages with multiple software highly desirable.
Experience working with Machine Learning, AI and Big Data techniques is desirable.
Advanced programming skills in modern statistics, scripts and programming languages such as Stata/Mata, R & Python.
Commitment to teamwork, knowledge-sharing, and ability to influence across organizational boundaries; experience using Git or code sharing platforms.
Demonstrated ability to multi-task and to effectively carry out multi-disciplinary analyses.
Excellent written and verbal communications skills. In particular, the candidate will exhibit the ability to communicate ideas effectively and to interpret statistical data quickly and clearly, including with informative graphs and charts; experience working with BI tools and in preparing data visualizations such as Tableau, R-Shiny, D3, etc. is desirable.
Strong interpersonal skills and a demonstrated track record of meeting tight deadlines and of working in a multicultural team environment with multiple priorities.
Ability to work with staff from all levels and to mentor, coach and motivate more junior staff.
Reading, writing and spoken fluency in Spanish is desirable.
Note: This internal requisition is open to WBG and IMF staff only (includingshort-term and extended term consultants/ temporaries). External candidates arerequested not to apply. In case an external candidate applies, theirapplication will not be considered.
World Bank Group Core Competencies
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.
We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.
Learn more about working at the World Bank and IFC, including our values and inspiring stories.
Job #:
req32032
Organization:
World Bank
Sector:
Economics
Grade:
GF
Term Duration:
3 years 0 months
Recruitment Type:
International Recruitment
Location:
Washington, DC,United States
Required Language(s):
English, Spanish
Preferred Language(s):
Closing Date:
3/6/2025 (MM/DD/YYYY) at 11:59pm UTC
Description
Do you want to build a career that is truly worthwhile? Working at the World Bank Group provides a unique opportunity for you to help our clients solve their greatest development challenges. The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty, increasing shared prosperity and promoting sustainable development. With 189 member countries and more than 120 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit www.worldbank.org
Poverty Global Practice
The Poverty and Equity Global Practice, part of the Prosperity Vertical, plays a key role in supporting the World Bank Group's goals of ending extreme poverty and boosting shared prosperity. It generates knowledge and dialogue and supports operational solutions, focusing on poverty monitoring and statistical capacity building, markets and institutions, fiscal and social policy, and resilience to shocks and sustainability. The practice is organized into seven regionally-oriented units-EAP, ECA, LAC, MNA, SAR and two in AFR-each managed by a Practice Manager. The development and flow of global knowledge within the practice is facilitated through five cross-cutting thematic lines, each of which is led by a thematic Global Lead Economist. These are: (1) data for policy analysis; (2) markets and institutions for poverty reduction and shared prosperity; (3) fiscal and social policy for poverty reduction and shared prosperity; (4) welfare implications of fragility and conflict risks; and (5) welfare implications of climate change. Every member of the practice is affiliated with, participates in and contributes to the work of at least one of the thematic lines.
Latin America and the Caribbean (LAC) Statistics Team
The main objective of the Statistics Team of the Poverty and Equity Practice at the LAC region is to help form the regional narrative on poverty and inequality, by increasing the quality, availability, and use of indicators and micro-data in LAC. Some key functions of the Statistics team are:
1)Review and harmonize household surveys for the LAC region.
2)Estimate relevant regional indicators for welfare monitoring, maintain a repository of existing data for each country, and keep a historical record of how inequality and poverty estimates have been generated across time.
3)Integrate the dialogue on data and statistics for the region and identify synergies across teams to minimize duplications.
4)Ensure basic data collection standards are implemented across countries to ensure quality.
5)Produce meaningful analytics using this data to inform evidence-based policy making.
6)In collaboration with the Global team and other practices, identify innovations for improving welfare monitoring.
7)Support global poverty monitoring efforts.
Duties and Accountabilities:
The selected candidate will be based in Washington, DC. The LAC Poverty and Global Practice is seeking to recruit a data scientist with knowledge and experience in social sector indicators and analysis, strong quantitative methods, and advanced programing skills. In particular, the candidate will have the following duties:
1)Lead and contribute to LAC statistics team activities,and supervise a team of consultants' part of the Statistics team.
2)Conduct quality assessments and analyses of poverty and inequality indicators; reviewing and preparing technical notes and presentations related to poverty, multidimensional poverty, shared-prosperity, inequality data; participate in workshops and training events.
3)Lead the expansion and improvement of the systematization of harmonization protocols and analytical tools for poverty, equity, and geospatial analytics in LAC.
4)Identify opportunities to innovate, use AI, Machine learning and Big Data techniques in developing and implementing solutions for World Bank Poverty and Equity analytical works and projects, including through non-traditional data sources.
5)Support poverty programs in selected LAC countries engaged in operational work with clients to design and deliver innovative analytical work, capacity building services, and technical assistance using recent development in technologies and methods.
6)Build partnerships with other groups in the WB, including DEC teams and other GPs on poverty, shared prosperity and equity monitoring issues and applications using recent technologies and methods.
7)Disseminate knowledge gained to country and regional teams in the practice, increasing the use of web-based visualizations on these indicators to tell clear stories.
8)Participate in activities and exchange information with other World Bank teams working on similar issues across sectors and Global Solution Groups.
9)Like all members of the Poverty global practice, the data scientist will also be expected to contribute to the global knowledge base of the practice.
Selection Criteria
A Master's degree in Economics, Statistics or Computer Science or a closely related field, with a minimum of five years' relevant experience, or equivalent combination of education and experience.
In-depth knowledge on poverty measurement and analysis using household survey data, including the use of sampling weights, the construction and analysis of consumption aggregates, the derivation of absolute poverty lines, the estimation of poverty/inequality and welfare measures, and related econometric techniques; experience with country poverty programs and regional statistics programs is desirable.
Good understanding of the relationships between poverty and other indicators of well-being.
Experience building or working with interconnected IT architectures featuring i) interactive user interfaces, ii) various data sources, iii) automation of data generation and layout production processes, iv) workflow management, v) linkages with multiple software highly desirable.
Experience working with Machine Learning, AI and Big Data techniques is desirable.
Advanced programming skills in modern statistics, scripts and programming languages such as Stata/Mata, R & Python.
Commitment to teamwork, knowledge-sharing, and ability to influence across organizational boundaries; experience using Git or code sharing platforms.
Demonstrated ability to multi-task and to effectively carry out multi-disciplinary analyses.
Excellent written and verbal communications skills. In particular, the candidate will exhibit the ability to communicate ideas effectively and to interpret statistical data quickly and clearly, including with informative graphs and charts; experience working with BI tools and in preparing data visualizations such as Tableau, R-Shiny, D3, etc. is desirable.
Strong interpersonal skills and a demonstrated track record of meeting tight deadlines and of working in a multicultural team environment with multiple priorities.
Ability to work with staff from all levels and to mentor, coach and motivate more junior staff.
Reading, writing and spoken fluency in Spanish is desirable.
Note: This internal requisition is open to WBG and IMF staff only (includingshort-term and extended term consultants/ temporaries). External candidates arerequested not to apply. In case an external candidate applies, theirapplication will not be considered.
World Bank Group Core Competencies
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.
We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.
Learn more about working at the World Bank and IFC, including our values and inspiring stories.