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 Support... Click Apply to read the full job description.