AKA data scientists. Indeed, it's 68, not 66. These are mostly open-ended questions, to assess the technical horizontal knowledge of a senior candidate at a high level.
- What is the biggest data set that you processed, and how did you process it, what were the results?
- Tell me two success stories about your analytic or computer science projects? How was lift (or success) measured?
- What is: lift, KPI, robustness, model fitting, design of experiments, 80/20 rule?
- What is: collaborative filtering, n-grams, map reduce, cosine distance?
- How to optimize a web crawler to run much faster, extract better information, and better summarize data to produce cleaner databases?
- How would you come up with a solution to identify plagiarism?
- How to detect individual paid accounts shared by multiple users?
Read 68 job interview questions. How many can you answer?
Source: https://bit.ly/X9Vviw
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
