The DonorsChoose.org Data Scientist will mine our data, and inspire others to mine our data, so we can:
Uncover insights to improve DonorsChoose.org, enabling us to serve even more students and teachers.
Unearth findings that could improve education in America. For example, “Louisiana teachers are submitting 40% more requests for environmental science technology—shouldn’t that inform the next state school budget?” or “How are teachers with the greatest improvements in student test scores using DonorsChoose.org differently?”
Reveal dynamics of our philanthropic marketplace that would intrigue people in other sectors, from the “shopping” behavior of our donors to the project keywords which make it most likely to be funded.
The right candidate will be skilled at translating big-picture! questions into data gathering and analysis tasks. He or she will:
- Devise tractable plans of attack to broad questions.
- Collect and transform web app data (logs, db data, etc.) into a form suitable for analysis.
- Create effective models from data, ranging from simple counts and histograms through more sophisticated methods drawn from statistics or machine learning.
- Explain, in words and pictures, the results of the analyses in a clear and understandable way.
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