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MISSING VALUE Interview Questions

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1. What drew you to apply as a flight attendant with American Airlines (AA)? I gave a non-STAR answer because I don't think it was applicable here. 2. AA has bases around the country, would you be willing to relocate after training? If so, what excites you about moving? I gave a non-STAR answer. 3. Walk me through your last work experience and how it prepared you for a position as a flight attendant. Non-STAR answer. I talked about customer service and safety, but I think STAR would work here too. 4. Describe a time you had to deal with an upset customer. STAR answer. 5. Describe a time you *received* memorable customer service. STAR answer. 6. Can you adhere to a no crazy hair, no visible tattoo policy? I didn't just make this a yes or no answer. My hair is short, so I made a joke about having no hair to even dye... also, I took this time to thank them for the opportunity to apply, reintroduced myself, and that was it. Just be polite and smile!
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Flight Attendant

Interviewed at American Airlines

3.6★
Feb 6, 2018

1. What drew you to apply as a flight attendant with American Airlines (AA)? I gave a non-STAR answer because I don't think it was applicable here. 2. AA has bases around the country, would you be willing to relocate after training? If so, what excites you about moving? I gave a non-STAR answer. 3. Walk me through your last work experience and how it prepared you for a position as a flight attendant. Non-STAR answer. I talked about customer service and safety, but I think STAR would work here too. 4. Describe a time you had to deal with an upset customer. STAR answer. 5. Describe a time you *received* memorable customer service. STAR answer. 6. Can you adhere to a no crazy hair, no visible tattoo policy? I didn't just make this a yes or no answer. My hair is short, so I made a joke about having no hair to even dye... also, I took this time to thank them for the opportunity to apply, reintroduced myself, and that was it. Just be polite and smile!

Suppose we hire you, and you and the rest of the new interns decide to go buy a cup of coffee. Each intern purchases one cup of coffee. One of the interns suggests everyone play a game. Everyone will flip a fair coin, dividing the group of interns into two subgroups: those that got heads and those that got tails. The game is this: whichever group is smaller evenly splits the cost of everyone's cup of coffee (i.e. if there are 5 interns, 3 get H, 2 get T, then the two interns that got tails each buy 2.5 cups of coffee). However, nothing says you need to play this game. You can choose to buy your own cup of coffee and not play the game at all. The question: Should you play this game? (Note: You may assume that there is an odd number of interns, so there are no ties, and that if everyone gets H or everyone gets T, then everyone loses and just buys their own cup of coffee).
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Sales Strat Intern

Interviewed at Goldman Sachs

3.7★
Mar 18, 2013

Suppose we hire you, and you and the rest of the new interns decide to go buy a cup of coffee. Each intern purchases one cup of coffee. One of the interns suggests everyone play a game. Everyone will flip a fair coin, dividing the group of interns into two subgroups: those that got heads and those that got tails. The game is this: whichever group is smaller evenly splits the cost of everyone's cup of coffee (i.e. if there are 5 interns, 3 get H, 2 get T, then the two interns that got tails each buy 2.5 cups of coffee). However, nothing says you need to play this game. You can choose to buy your own cup of coffee and not play the game at all. The question: Should you play this game? (Note: You may assume that there is an odd number of interns, so there are no ties, and that if everyone gets H or everyone gets T, then everyone loses and just buys their own cup of coffee).

Data challenge was very similar to the ads analysis challenge on the book the collection of data science takehome challenge, so that was easy (if you have done your homework). SQL was: you have a table where you have date, user_id, song_id and count. It shows at the end of each day how many times in her history a user has listened to a given song. So count is cumulative sum. You have to update this on a daily basis based on a second table that records in real time when a user listens to a given song. Basically, at the end of each day, you go to this second table and pull a count of each user/song combination and then add this count to the first table that has the lifetime count. If it is the first time a user has listened to a given song, you won't have this pair in the lifetime table, so you have to create the pair there and then add the count of the last day. Onsite: lots of ads related and machine learning questions. How to build an ad model, how to test it, describe a model. I didn't do well in some of these.
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Data Scientist

Interviewed at Meta

3.5★
May 9, 2016

Data challenge was very similar to the ads analysis challenge on the book the collection of data science takehome challenge, so that was easy (if you have done your homework). SQL was: you have a table where you have date, user_id, song_id and count. It shows at the end of each day how many times in her history a user has listened to a given song. So count is cumulative sum. You have to update this on a daily basis based on a second table that records in real time when a user listens to a given song. Basically, at the end of each day, you go to this second table and pull a count of each user/song combination and then add this count to the first table that has the lifetime count. If it is the first time a user has listened to a given song, you won't have this pair in the lifetime table, so you have to create the pair there and then add the count of the last day. Onsite: lots of ads related and machine learning questions. How to build an ad model, how to test it, describe a model. I didn't do well in some of these.

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