Data Scientist - req32521
Company: World Bank Group
Location: Washington
Posted on: April 7, 2025
Job Description:
Data ScientistJob #:req32521Organization:World
BankSector:EconomicsGrade:GFTerm Duration:3 years 0
monthsRecruitment Type:International
RecruitmentLocation:Washington, DC, United StatesRequired
Language(s):EnglishPreferred Language(s):Closing Date:4/15/2025
(MM/DD/YYYY) at 11:59pm UTCDescriptionThe 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 .The
Trade Unit (ETIRI) is part of the Prosperity Vice Presidency. In
ETIRI, we are responsible for delivering analytic, advisory,
financial, and convening services in the areas of trade policy,
trade facilitation, logistics and connectivity, and regional
integration.Considering the fast trend in digitization of trade
transactions and supply chains, the Trade unit is ramping up its
analytical capacity relying on Big Data and machine learning
techniques. These are game changers for knowledge development and
policy engagement.ETIRI is hiring a Data Scientist to contribute to
analytical and technical assistance engagements at global and
country levels on trade-related issues.DUTIES AND
RESPONSIBILITIESThe successful candidate will work to broaden and
deepen the World Bank Group's trade policy program including, but
not limited to:
- Contribute to analytical studies relying on big data, such as
the flagship Logistics Performance index (LPI), among others.
- Contribute to the maintenance and updating of big data sets,
including through partnering with external providers.
- Implement big data pipelines for processing data sets of
various types and scales to generate insights for analytical
products to guide knowledge development and policy engagement.
- Support other trade team members engaged in the production and
research in preparing reproducibility packages, and liaison with
the corresponding team in the research group.
- Participate in the development of new knowledge products and
instruments that can be mainstreamed into country work, including
the development of toolkits for analytical work relying on big data
and machine learning.
- Contribute to country level analytics and support regions by
engaging in the policy dialogue with client countries and
participating in lending projects initiated by country teams. This
may involve the preparation of briefs, PowerPoint presentations,
and policy notes for both internal and external audiences,
reviewing and commenting on key documents, consultations, and
stakeholder engagement activities through lending and non-lending
activities (i.e., projects, programs, analytical work, etc.).
- Participate in knowledge sharing and learning activities of the
Trade Unit, and organize and contribute to dissemination
activities, conferences, workshops, and learning programs.
- Participate in and contribute to knowledge sharing and learning
activities of the Data Science & Statistics Community.
- Participate in and expand the scope of partnerships established
with other units and organizations active in big data analytics in
relation to trade.
- Support the Practice Manager and the Global Practice with
corporate demands and quality control of deliverables.
- Present the team's work at internal and external knowledge
exchange and dissemination events.Selection Criteria
- Masters or Advanced Degree in relevant field (data science,
economics, trade), with at least 5 years of relevant professional
experience in data science (or PhD degree in relevant field, and at
least 2 years of relevant professional experience).
- Demonstrated professional experience in the analytics of
trade-related issues.
- Strong analytical and organizational skills and proven ability
to conduct independent quantitative research.
- Proficiency in Python and most common packages such as NumPy,
Pandas, scikit-learn, TensorFlow, or PyTorch. Familiarity with GIS,
and common database languages (e.g. SQL).
- Proficiency in big data processing and experience with tools
such as Databricks, PySpark, or similar stack.
- Demonstrated experience in using workflow management and code
versioning tools such as GitHub.
- Demonstrated experience with implementation of machine learning
techniques including common supervised learning algorithms,
unsupervised algorithms, and exposure to neural networks, including
for image and language processing.
- Strong understanding of the data life cycle, the dimensions of
data quality, reproducible research practices, and data
protection.
- Demonstrated ability to work in a team environment with
multiple priorities and tight deadlines.
- Excellent communication skills, both written and oral.
Experience with data visualization. Demonstrated ability to take
leadership and communicate ideas effectively under pressure.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 and , including our
values and inspiring stories.
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Keywords: World Bank Group, Washington DC , Data Scientist - req32521, Other , Washington, DC
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