Research Scientist - Education Analytics

Education Analytics (EA) is a non-profit organization that uses rigorous data analysis to inform education research, management, and policy decisions. Our staff is a group of highly motivated, energetic, passionate researchers and analysts who work with school districts, states, and foundation partners across the U.S. to identify innovative ways to improve education systems.

We are seeking an experienced researcher with either a Ph.D. in economics, or a Ph.D. in statistics or a related field, who specializes in econometrics, applied statistics, or related quantitative methods. The Research Scientist at EA collaborates with external project partners, other researchers, data strategists, analysts, and policymakers. The position will report to the Research Manager and Chief Research Officer and will play a substantial role in directing various programs of research. The role requires a mix of analytic, statistical, communication, and project management skills to meet the challenges of leading applied, rigorous statistical analyses and making substantive contributions to the fields of educational data analysis, measurement, and policy.

If you are looking to apply cutting-edge statistics to address critical problems impacting the lives of students across the country, we encourage you to apply. We are looking for passionate researchers who view every challenge not as a roadblock, but as an opportunity to do something innovative and exciting to transform the U.S. education system.

This position would be expected to work at our physical location in Madison, Wisconsin.

We will begin evaluating/considering applicants beginning on 2/15, but we will continue to accept applications through 3/15.

Specific Research Scientist responsibilities include:

  • Developing statistical models for education policy applications that may include, but are not limited to, using the following approaches: econometrics, linear regression, multilevel/hierarchical linear modeling, Bayesian methods, propensity score matching, or data science (e.g., machine learning)
  • Writing researcher-oriented documents, including conference papers and presentations, academic journal articles, working papers, and technical documentation
  • Collaborating with and supervising analysts and programmers to implement statistical models for external partners and for internal research
  • Communicating and collaborating with state and local education agencies and other EA partners
  • Co-creating written documentation with EA data strategists and analysts, such as technical memos, policy briefs, partner reports, practitioner guidebooks, and grant proposals, for a variety of technical and non-technical audiences

Skills and Experience

  • Either a Ph.D. in Economics or related field; or a quantitative Ph.D. in Statistics, Public Policy, Sociology, Educational Psychology, Data Science, or a related statistically-focused field is required
  • 3+ years of post-doctoral research experience in economics, statistics, education, or a related field in an academic, non-profit, corporate, or other research-focused setting is preferred
  • Familiarity with the R programming language is preferred
  • Deep knowledge of statistical and analytic approaches for evaluating educational policies and programs
  • Excellent problem-solving and systems-thinking skills
  • Strong written and verbal communication skills
  • Customer-service and entrepreneurial orientation to working with partners that ensures that EA exceeds expectations
  • Desire to work in a team environment at a fast-growing, fast-paced nonprofit
  • Demonstrated interest in improving and supporting U.S. K-12 public education through data analysis
  • Entrepreneurial and fundraising experience a plus


  • Competitive salary
  • Institutional support for professional organization membership and conference attendance
  • Annual merit bonuses
  • Paid holidays and one month of paid vacation per year
  • Generous 401k and health benefits
  • Free Madison Metro transit pass or subsidized office parking (if space is available)
  • Casual office environment
  • Location right in the heart of downtown Madison, Wisconsin

Education Analytics is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Click here for more information on how to apply.