11 karma · joined August 27, 2019
How do you define "diminished well-being"?
I'm concerned about the level of access required for this app before I try it out (I am a Product Manager). Sounds like you'd be reading through all my emails and PMs. Is that correct?
There is indeed some feature engineering involved. The challenge in the test can indeed be solved in the most obvious way possible, as well as in the most creative fashion. We believe how a Data Scientist goes about solving the problem was more important than a fixed outcome.
We optimized these challenges to allow candidates to show as much of their skills they can show in a timed window, without killing their creativity. I'd be curious to know what do think is a good way to interview data scientists.
- We are not automatically grading it. We have learned that in the past that trying to automatically grade candidates on such challenges biases their approach, which breaks the point of a good data science challenge.
- that's good to know. we are not really focusing on the final outcome but how creatively a candidate can go about the problem. the dataset allows for some good amount of creativity.
- Ah. can you elaborate what you mean by overly limited? We do support R.
What skills would you consider important for senior vs junior Data Scientist?
This meant we couldn't automatically score/rank a candidate's solution. We do provide them with an evaluation metric in the problem description (Mean Absolute Error). Here is scoring rubric we provide to the interviewers when they review the submission - https://d.pr/i/hNYY0u
Would love to hear more opinions on our scoring rubric
Do you think the data set we have used doesn't do it to the extent you'd expect from a data scientists?