Data Scientist, Learning Supports

Job description

AIR is seeking a Data Scientist to join the Learning Supports program and provide foundational and advanced analytic support across multiple project teams. The Data Scientist will take ownership of end-to-end quantitative workflows—setting up and maintaining reproducible analytic environments, managing and quality-checking complex datasets, reviewing and strengthening junior analysts’ code, and leading inferential modeling tasks spanning both causal (e.g., experimental and quasi-experimental designs) and non-causal (e.g., descriptive, predictive, and explanatory) analyses. The role will also help expand AIR’s capacity to responsibly apply machine learning methods in support of causal and non-causal work, while translating technical results into clear, decision-relevant products for clients and stakeholders. The Data Scientist will join AIR’s Learning Supports program, which conducts research, evaluation, and implementation support for federal and state agencies, school districts, and foundations. The program produces rigorous evidence and practical tools to inform policy and practice, helping ensure early and equitable access to learning and the supports children and families need...