americaninstitutesforresearch · US-Remote | US-VA-Arlington | US-NC-Chapel Hill | US-IL-Chicago | US-CA-Sacramento | US-TX-Austin
Skills: Python, Accessibility
AIR is seeking a Data Scientist to join our Education Systems and Policy (ESP) team, providing advanced quantitative and technical expertise across a range of education research and evaluation projects. In this role, you will apply rigorous analytic methods to complex education policy and systems questions while helping develop innovative tools and resources that improve project efficiency, strengthen analytic capabilities, and enhance the value we deliver to clients. You will work closely with researchers, technical staff, and project leaders to bridge education content expertise with data science and technical development, contributing to high-quality analyses, reproducible workflows, and practical solutions that advance ESP’s research and client work. Candidates hired for the position may work remotely within the United States (U.S.) or from one of our U.S. office locations. This does not include U.S. territories. About AIR: Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all. Responsibilities: Lead or contribute to the design and execution of rigorous quantitative research and evaluation projects across multiple Education Systems and Policy initiatives. Apply appropriate quantitative methods to collect, manage, analyze, and interpret data, including leading inferential analyses for both causal and non‑causal research questions. Develop, maintain, and document reproducible and collaborative analytic workflows, including data management processes and quality control procedures. Review, quality‑check, and strengthen analytic code and outputs produced by junior staff; provide guidance and mentorship to…
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