I applied online. The process took 5 weeks. I interviewed at Yammer in Nov 2017
Interview
Application:
I submitted my resume online in the early October, and I received the phone interview invitation with other data scientist in the end of October (about 3 weeks).
Interview Process:
The HR was very friendly and efficient, and had scheduled my first technical phone interview with one data analyst. My first interviewer was very friendly and nice. We had a great conversation. During the interview, this interviewer asked me one probability question, and then some hypothesized questions. These questions are not hard, just need to practice it. Five days after my first phone interview, I got another invitation for my second phone interview. This time, the interview question itself was also not hard, however, I cannot understand the interviewer's questions most of time. Both of us are not native English speaker, therefore, I had to ask the interviewer several times to repeat these questions.
Interview questions [1]
Question 1
First phone interview:
A probability question: roll three 6-sided dices, the probability of three dices are all different.
The hypothesized questions: There are two types of office layout designs (I kinda forgot what are these two designs, but something like one is opened and one is closed office), you want to know which design is better. How do you investigate and analyze it?
Second phone interview:
The hypothesized question: I think I saw this interview question somewhere. I think someone had posted it too. This question is: if you are a manager in a grocery store, which is a branch in a chain store. If you found that some products were sold great in another store, will you increase the numbers of these products in your store? Why?
One call first to see if you have a head on your shoulders, , then if they like you, next you get the technical questions (make sure you are ready to pull up your favorite IDE and share screen).
Interview questions [1]
Question 1
First, "Currently there are about 33 millions Americans who have COVID-19. Assume 10% of the population has it. Suppose there is a test for it which is 75% accurate(e.g., 25% of the time it will give the wrong answer). Given that a person was tested positive, what is the probability that person has COVID-19?" Then, given a small csv (emailed over) do EDA, make a model out of it.
I applied online. I interviewed at Yammer (San Francisco, CA)
Interview
I went for a phone screen with the Director of Analytics.
The questions he asked me didn't make much sense. It was all based on probability theory.
After the phone interview, I didn't hear back. Nobody sent me an email.
Interview questions [1]
Question 1
What’s the probability that in a room full of k people, at least 2 people will have the same birthday?
