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Data Science 4 Everyone is a national initiative and coalition working to catalyze the adoption of data science as a fundamental component of K-12 education.

Incubated at the University of Chicago Center for RISC and popularized by the 2019 Freakonomics podcast “America’s Math Curriculum Doesn’t Add Up,” DS4E is quickly growing, with an active coalition membership of over nearly 3,000 education stakeholders and counting, and partnerships with 15 states and hundreds of education organizations.


See below for our list of active roles. Not seeing something that's the right fit? Please complete our employment interest form if you'd like to be notified about other opportunities in the future. We encourage individuals representing diverse backgrounds, identities, professions, and geographies to apply, and are always looking for top talent to join our fast-growing team! 


Join our Slack for more information on job opportunities, resources, events, and more.

  • What is data science? What is the relationship between data science and data literacy?
    ANSWER In short, if you're drawing insights from data, that's data science. Data science skills are essential to 21st-century living and create data literate individuals who are comfortable visualizing, analyzing, and making decisions based on data. This is already necessary for both work and personal life. While not all data literate individuals become data scientists, they will all become data users and consumers. By designing and paving the way for data science education, we ensure that today's learners can apply those skills in a wide range of contexts. Visit for more informational resources.
  • Is data science just for mathematics or technical disciplines?
    ANSWER No. Many believe that data science is a technical skill, only for statisticians or machine learning experts. But the reality is data literacy is a skill for all. Anyone in any role who interprets, visualizes, or communicates data is leveraging data science skills — and the approach goes well beyond math. Data scientists process, analyze, and draw insight from data. Students who are data-literate must be able to read, work with, analyze, and argue with data. They must be competent and comfortable reading, understanding, and synthesizing information displayed in the many forms data may take (graphically, in a data table, written words, etc.). Through our Commitments Campaign we are building a Coalition that calls upon industry leaders, schools and universities, policymakers, funders, and individuals to commit to action so that all students have the opportunity to gain data science skills.
  • Why now? Is there existing momentum to expand access to data science education?
    ANSWER Yes! The DSE Coalition mobilized more than 150 organizations and individuals to call for the incoming Biden Administration to prioritize Data Science education in a letter aimed at spurring executive actions. There are already initiatives underway across the country, including more K-12 schools offering data science classes, institutions of higher education accepting data science as a math prerequisite, states rewriting math standards to include data science as an advanced course, and organizations creating public data sets to make sure all communities and stakeholders have access.
  • Who is organizing the Data Science for Everyone Commitments Campaign?
    ANSWER The organizing team includes members at the University of Chicago Center for RISC, Schmidt Futures, Citadel LLC, the Learning Agency and Concord Consortium. For partnership or press opportunities, contact


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