AI-Enhanced Survey Data Automation Specialist

Global Roles; Washington (District of Columbia); On-site; USD 100,000 - 140,000; Full time

Job summary

The World Bank's Development Economics Policy Indicators Group (DECIG) invites Extended Term Consultants to improve survey standardization, automation, and data processing for WBES and related surveys. You will strengthen automated workflows, QA, and AI-enabled processing while supporting reporting and dissemination.

Responsibilities include enhancing CAPI tooling, web scraping, and production of standardized outputs; training team members and documenting systems for sustainability.

Qualifications

• Master’s degree in Economics, Statistics, Data Science, Computer Science, or related quantitative field with 2+ years of experience (or Bachelor’s with 4+ years).
• Strong programming in STATA and Python; R knowledge a plus.
• Experience in applied research and data analysis, preferably private sector development or firm-level topics.
• Experience building automated, reproducible data workflows including cleaning, validation, processing pipelines.
• Familiarity with survey methodology: sampling frames, sample design, weighting.
• Experience with CAPI platforms (e.g., Survey Solutions) and with codebooks/metadata.
• Experience with data quality monitoring, dashboards, and monitoring tools.
• Experience with web scraping and data APIs for external data integration.
• Practical use of AI tools to automate tasks, with testing/validation.
• Git/version control and clear code documentation.
• Experience producing visualizations and standardized reports on large datasets.

Responsibilities

• Design and implement improvements in automated, reproducible workflows for recurring survey tasks.
• Maintain tools related to CAPI, codebooks, and central question bank; augment data via web scraping.
• Enhance automated quality monitoring systems for fieldwork and post-fieldwork review; develop dashboards.
• Develop automated data pipelines to prepare WBES data for publication with quality checks.
• Create automated production of standard country documents, graphs, and visualizations from WBES indicators.
• Identify tasks for automation or AI assistance; design, test, validate, document, and train teammates.

Skills

Dashboard Development

Web Scraping

Data APIs

AI Tools Usage

Output validation

Version Control Systems

Git

Code documentation

Data Visualization

Report Production

Large firm-level datasets

STATA Programming

Python Programming

R Programming

Applied Research

Data Analysis

Private Sector Development

Firm Level Data Analysis

Automated Geodata Workflows

Data Cleaning

Data Validation

Data Processing Pipelines

Survey Methodology

Sampling design

Survey weighting

CAPI platforms

Questionnaire documentation

Codebooks

Metadata Management

Data Quality Monitoring

Rule-based data checks

Education

Master’s degree in Economics, Statistics, Data Science, Computer Science, or related quantitative field

Bachelor’s degree with at least 4 years of relevant experience

Tools

STATA

Python

R

Job description

The World Bank's Development Economics Policy Indicators Group (DECIG) invites Extended Term Consultants to improve survey standardization, automation, and data processing for WBES and related surveys. You will strengthen automated workflows, QA, and AI-enabled processing while supporting reporting and dissemination.

Responsibilities include enhancing CAPI tooling, web scraping, and production of standardized outputs; training team members and documenting systems for sustainability.