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GiveDirectly

Direct cash transfers to the poor

Monitoring and Evaluation Associate - Rapid Experimentation

Data ScienceConfirmed live in the last 24 hours
Full-time$38.6k - $81k

About the Job

Requirements

  • A bachelor's degree or equivalent in Economics, Statistics, Public Policy, or a related quantitative field is required.
  • Two to four years of experience working with data in applied settings such as experimentation, evaluation, analytics, or program learning is required; development, technology, or operations-focused experience is preferred.
  • A solid understanding of experimental design and causal inference concepts, including randomization, treatment and control groups, units of randomization, statistical power, and bias, and the ability to apply them in real-world program contexts is required.
  • Experience using R, Python, or Stata to clean, manipulate, and analyze data, including multiple data sources such as survey or administrative data, is required.
  • Experience collaborating with cross-functional teams such as programs/operations, product, or research, and external partners to implement projects and solve problems is required.
  • Fluency in English is required.
  • The candidate must be able to manage multiple workstreams simultaneously, make progress with imperfect data, and iterate quickly based on emerging findings.
  • The candidate must be able to interpret results beyond statistical significance and communicate clear, actionable insights to technical and non-technical audiences.
  • The candidate must demonstrate alignment with GiveDirectly’s values and core competencies, including emotional intelligence, problem-solving, project management, follow-through, and fostering inclusivity.

Responsibilities

  • Conduct power calculations to ensure experiments are statistically rigorous and feasible within program constraints.
  • Set up pre-specified experimental designs using defined experimental groups, outcome measures, and measurement timelines.
  • Review experiment setups before launch and flag execution and measurement risks that could affect interpretability.
  • Coordinate experiment implementation with research plans and integrate it into program delivery across Programs and Product teams.
  • Manage a portfolio of two to three live A/B tests at a time, producing timely answers to support rapid iteration of programs and products.
  • Collaborate with external Principal Investigators to align measurement approaches and data collection with research design and implementation realities.
  • Apply established indicator and measurement approaches to ensure experimental outcomes are captured accurately and consistently.
  • Prepare and manage clean, well-structured datasets ready for analysis, using survey, administrative, and product data.
  • Identify and flag data-quality risks, including missingness, inconsistencies, and measurement error, that could affect the validity of experimental conclusions.
  • Conduct targeted literature reviews to ensure measurement approaches are evidence-grounded and aligned with best practices.
  • Generate reliable, decision-ready analyses of experimental data from A/B tests.
  • Assess the magnitude and direction of effects, explain what results do and do not suggest, and note key limitations.
  • Ensure results are understood and interpreted appropriately in light of data quality, sample size, and implementation considerations.
  • Translate experimental results into actionable recommendations for individual country programs and GiveDirectly’s programming as a whole.
  • Structure results and key learnings so they can inform future experiments and program design.
  • Prepare concise learning products, such as memos and summaries, for internal Programs and Product teams and external academic partners, communicating findings to technical and non-technical stakeholders.
  • Prepare and clean de-identified datasets for external Principal Investigators and academic partners, ensuring data is structured, well-documented, and ready for independent analysis.
  • Contribute to cross-country discussions to share and apply experiment learnings, and maintain clear documentation so experiments can be tracked, understood, and built on over time.

Desired Qualifications

  • Experience in development, technology, or operations-focused roles is preferred.
  • Personal or professional experience in low-income or historically marginalized communities is welcomed and strongly encouraged.

About the Company

GiveDirectly

Direct cash transfers to the poor

GiveDirectly provides direct cash transfers to people living in extreme poverty, funded by governments, foundations, and individual donors. It uses technology to locate recipients, connect them to electronic payments networks, and monitor transfers end-to-end, charging only the full cost of delivering the service. How it works: a recipient in need is identified, enrolled in an electronic payment system, and receives cash transfers with ongoing monitoring to ensure delivery, transparency, and accuracy. How it differs from competitors: it focuses on direct cash transfers with transparent pricing (no hidden fees) and end-to-end digital processes to scale efficiently, improve legitimacy, and reduce administrative overhead. Its goal: to create the world's most efficient, transparent, and scalable system to put resources directly into the hands of the poor and transform how international development is done.

Company size
1,001-5,000
Company stage
Grant
Total funding
$1M
Headquarters
New York City, New York
Founded
2008

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