Demo

Data Scientist

World Bank
Washington, DC Full Time
POSTED ON 1/20/2025
AVAILABLE BEFORE 4/19/2025

Data Scientist

Job # : req31086

Organization : World Bank

Sector : Information Technology

Grade : GF

Term Duration : 4 years 0 months

Recruitment Type : International Recruitment

Location : Washington, DC, United States

Required Language(s) : English

Preferred Language(s) : None

Closing Date : 1 / 22 / 2025 (MM / DD / YYYY) at 11 : 59pm UTC

Description

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 and promoting shared prosperity. 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.

Office of the Senior Managing Director for Development Policy and Partnerships

The Senior Managing Director’s (SMD) key mandate includes overseeing the Bank’s knowledge and partnership programs and ensuring that the Bank’s analytical work continues to address the pressing development challenges facing client countries and global partners. The office is responsible for the Evolution Roadmap, G20 and G7 engagements, the implementation of the Knowledge Compact, as well as the replenishment of IDA, the Bank’s concessional lending arm for the poorest countries.

Position Context :

The Department for Outcomes (SMDOC)

The Outcomes Department provides the strategic vision and direction for an effective outcome orientation across the WBG, leading the implementation of the WBG Scorecard as an accountability, management, and communications tool.

Roles and Responsibilities

The candidate chosen for this position will :

  • Work creatively to help update the overall data architecture for measuring outcomes across the WBG, including using new technologies.
  • Help develop and implement a plan for use of new technology, including machine learning, to further strengthen outcome measurement.
  • Undertake data collection, data entry and quality assurance for cross-cutting issues, such as Jobs, Private Capital Facilitation, Climate Change, Gender, and Youth.
  • Develop innovative ways to present outcomes data that communicates a persuasive and impactful message.
  • Undertake data cleaning, collection, and exploratory data analysis (EDA) on result indicators through Power BI.
  • Conduct independent data cleaning, exploratory data analysis (EDA), analytical and visualization support for other activities.

Selection Criteria

  • Master’s or PhD (preferred) degree in relevant field (i.e., Applied Mathematics, Statistics, Economics, Public Administration, etc.) with a focus on data science and analytics.
  • In-depth knowledge and skill in mathematical and quantitative reasoning; use of advanced computer languages and software.
  • Superior integrative thinking skills and ability to support project teams in developing an integrated point of view around development challenges.
  • Outstanding ability to tailor communication style to meet audience needs.
  • Excellent programming / coding skills related to data collection, data management and statistical software (e.g., STATA, R, Python, SQL).
  • Solid understanding of research methods and evaluation approaches used in MDBs.
  • Drive, proven sense of initiative, results orientation, flexibility, leadership qualities, and effective teamwork skills.
  • Excellent oral and written communication skills in English.
  • Knowledge and skills in core areas of data engineering and statistics.
  • 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.

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