I was asked to go through my resume and asked questions based on them. Some questions on the basics of statistics, evaluation metrics, overcoming overfitting and underfitting, and logical questions were asked
Research Scientist Intern Interview Questions
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Some basic statistics e.g. correlation and variance.
We are going to launch shared rides, what metrics would you use to gauge success
The recruiter had said that the interview challenge revolve around api development. Instead, they asked me to implement k nearest neighbor using a quad tree.
A weird spreadsheet with data without real explanation what the numbers should mean or what I should do with it. Looked like someone else prepared it and meant to ask other questions.
Have you completed a wetland delineation before and are you familiar with the NYS permitting requirements.
Q: How can you draw value from an old project?
The technical challenge involved concepts that are fairly common for a data scientist: data wrangling, modeling, and prediction.
Standard research related question from my seminar and job description
General overview of machine learning and specifics concerning Bayesian techniques
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