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NWEA | Learning & Assessment Engineer | Full Time | Remote or Portland, OR (US only)

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.

This position has excellent benefits and is fully remote.

Apply here: https://www.nwea.org/careers/openings/?p=job%2Fomzrifwo

We also have several software engineering, DevOps, and other positions open: https://www.nwea.org/careers/openings/

I'm happy to answer any questions: thomas.christie -- at -- nwea.org



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