Questions tagged [interview]
The interview tag has no usage guidance.
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Is linear regression still relevant in a mid-level DS interview?
I’m hiring for a mid-level data scientist with 2~ years of experience. The hire will be writing SQLs, working with stakeholders to define business problems and doing analytics whether an inference ...
13
votes
1
answer
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QR interview problem Guessing order of draws from iid U(0,1)
This is for QR at two well know trading firms (think jane street, HRT, Citadel, Jump ...)(not BB bank).
Question prompt:
Given n iid Uniform distributed r.v.s. $x_i$ ~ U(0,1). $x_1$ is drawn first, ...
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5
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1
answer
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Interview question: train/test error and "best" model
I recently had a puzzling interview question and I am wondering whether anybody can tell me the intended answer.
The question shows train and test error for three models plotted against the number of ...
- 10.8k
3
votes
1
answer
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Infer relationships between coefficients given covariance information
Quant Interview Question:
Given $y$ = $a_1$$x_1$, $y$ = $b_1$$x_1$+$b_2$$x_2$, $cov(x_1,y)$ != 0, $cov(x_1,x_2)$ > 0, $cov(x_2,y)$ = 0. Compare $abs(a_1)$ and $abs(b_1)$. Which one is larger and ...
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2
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3
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Data Science Interview FAANG 2021 Question
You have four tests that benchmark how much power we expect to draw from the servers in a rack: A (5 minutes), B (10 minutes), C (15 minutes) and D (30 minutes) that are conducted sequentially over ...
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2
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0
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Draw Maximum Information from Experts to set up Utility Function
We aim to draw maximum information from CEP-logistics experts to set up a utility function for delivery chain choices for each parcel. The choices / dependent variables are specific transport chains, ...
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2
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1
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Binary variable in regression model (interview question)
I got this question, it may be easy but for some reason for me is not:
you are given a binary variable $b\in [0,1]$, that has no predictive power on $y$, but has some on $X$. How would you use it to ...
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