About The Position

The education policy team’s data intern will support the team’s cutting-edge research at the intersection of data, education policy, and technology. The data intern will research a variety of topics, including by:• analyzing and drawing meaningful interpretations from state and national education data sets;• using statistical modeling to estimate causal effects;• using web scraping to construct novel education data sets;• applying text analysis, machine learning, and other techniques to analyze unstructured data; and• creating visualizations and written reports to communicate results.

Requirements

  • Highly interested in learning more about education policy
  • Keen attention to detail and effective communication skills
  • Highly proficient in Python and/or R
  • Strong understanding of statistics
  • Foundational understanding of machine learning
  • Comfortable working independently when given a project
  • Able and eager to learn new skills on the job

Nice To Haves

  • Coursework or work experience in education policy
  • Fluency in both Python and R, and potentially other programming languages
  • Strong understanding of regression and causal analysis
  • Experience applying machine learning and/or natural language processing to unstructured, messy data sets

Responsibilities

  • Analyze and draw meaningful interpretations from state and national education data sets
  • Use statistical modeling to estimate causal effects
  • Use web scraping to construct novel education data sets
  • Apply text analysis, machine learning, and other techniques to analyze unstructured data
  • Create visualizations and written reports to communicate results

Benefits

  • Gain experience in research, writing, business, and communications
  • Opportunity to work at one of the nation’s leading think tanks
  • Networking opportunities in Washington, DC
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