Application Details

Start date: January 30, 2023

End date: May 3, 2023 (with the possibility of one outstanding candidate continuing onto a full-time position as a Data Analyst on one of EGC’s projects after the Spring semester)  

Expected weekly hours: 10+ hours

Target Audience: Undergraduate students with extensive coursework in coding, data science, computer science or statistics and Master’s students with skills and interests in the above-mentioned areas (full qualification requirements below); Students may be in the Statistics, Statistics and Data Science, and Computer Science programs, but this is not a requirement for this internship  

The Role

The Yale Economic Growth Center (EGC) seeks students with demonstrated statistics, data science or computer science skills and an interest in applying these skills to questions in development economics to serve as Research Assistants in the inaugural EGC Data Science Research Assistantship program in the 2022-23 Academic Year. We expect multiple openings in this role for the 2022-23 Academic Year.

Each successful candidate will work closely with an EGC faculty affiliate to assist with a variety of research and analysis tasks including data sourcing, web scraping, data cleaning and harmonization, data analysis, data wrangling and visualization, codebook preparation, and dataset management. The RA will develop extensive experience in machine learning and related statistical techniques through a variety of computational exercises that range from hypothesis testing, to understanding heterogeneity in program impacts, to clustering and anomaly detection, to forecasting. The RA will also develop deep knowledge in the suitability and application of specific techniques to specific questions and data in international development. 

The position offers an opportunity to work with Yale economics faculty and deepen skills in big data application to pressing questions in economic development. The intern will participate in a vibrant community of interns, postgraduate fellows, and researchers at the EGC.

We invite applications from people of diverse backgrounds, particularly women, members of minority groups, protected veterans, persons with disabilities, and others who have been historically underrepresented in the field of economics. Yale is an Affirmative Action Equal Opportunity Employer, and values diversity in its faculty, students, and staff.

Responsibilities

  • Conduct desk research, including on thematic or methodological questions related to the focal research project
  • Identify and source secondary or administrative datasets of relevance to the research project, seeking the right permissions as needed
  • Learn and apply suitable statistical and machine learning techniques to investigate datasets using a variety of data science tools and methods
  • Clean, harmonize, and analyze large datasets to test specific hypotheses or apply specific machine learning approaches 
  • Prepare and maintain relevant documentation and codebooks for the replication of prepared code
  • Prepare and maintain large datasets created for focal research projects 
  • Assist in writing results and analyses
  • Participate in regular Center meetings; support and interact with a community of student interns and postgraduate fellows.
  • Other tasks as needed

Qualifications

  • Strong, demonstrated coding skills in R or Python
  • Extensive coursework and strong background in in data science, computer science, or statistics 
  • Strong writing and research abilities
  • Some economics coursework is desired
  • Strong organizational skills and ability to multitask effectively 
  • Ability to work independently, communicate proactively, and drive projects

How to Apply

Undergraduates search for Job #29319, and Graduates search for Job #29324 on the Student Employment Office website. When given the opportunity, one single PDF labeled “Last name, First name – Data Science RA F22-23” that includes the following:

  • Your CV
  • A Statement of Interest
  • Your academic transcript (unofficial is acceptable)
  • A data science paper or project that demonstrates your familiarity with machine learning techniques and your application of skills coding in R, Python or other big data programming languages

Who We Are

The Economic Growth Center (EGC) was founded in 1961 with support from the Ford Foundation as the first research center in a major US university focused on the quantitative study of lower-income economies. It soon became the host for Yale’s master’s program in International and Development Economics (IDE), which continues to train development researchers and policy practitioners. 

Today, the Center is Yale’s hub for economics research and teaching on issues concerning lower-income economies and advancement of their populations. EGC researchers examine the links between economic growth, structural transformation, and individual outcomes, with a focus on how inequality and a changing climate affect individuals, especially those in marginalized groups. Others directly examine the political economy of development and ask how public policy can affect economic justice in lower-income settings. Many research projects and initiatives are in collaboration with governments and other policy counterparts in developing countries, creating a direct channel through which research insights benefit the lives of millions of people. The Center supports the wider research community by enabling open access to large-scale surveys conducted by its researchers, and it hosts the Program in Economic History, which supports historical analysis of economic growth in developed as well as developing countries. In the 2022-23 academic year, EGC is piloting a new Data Science for Development Initiative.