NWEA

NWEA is a research-based educational not-for-profit that creates assessments and performs educational research. We’re hiring a senior individual contributor to join our Learning & Assessment Engineering team. The team is charged with building computational models to help assessments be more efficient and useful for both teaching and research. The ideal candidate would have: - some experience using Stan/Jags/PyMC/Tensorflow Probability or another probabilistic programming language. We’ll be applying custom statistical models to understand learning, test-taking behavior, and create more informative reporting. - a conceptual understanding of constrained optimization - some experience with software engineering workflows and tools (e.g. using version control, SQL, etc) - fluency in Python and willingness to become familiar with an existing code base This is a great role for a technical post-doc looking for a job in industry, or an experienced data scientist looking to apply their skills in a new way. No experience in educational assessment is necessary.