Analytical Scientist Interview Questions

363 analytical scientist interview questions shared by candidates

Lets say the population on Facebook clicks ads with a click-through-rate of P. We select a sample of size N and examine the sample's conversion rate, denoted by hat{P}, what is the minimum sample size N such that Probability( ABS(hat{P} - P) < DELTA ) = 95%. In other words (this is my translation), find the minimum sample size N such that our sample estimate hat{P} is within DELTA of the true click through rate P, with 95% confidence.
avatar

Data Scientist, Analytics

Interviewed at Meta

3.6
6 Mar 2015

Lets say the population on Facebook clicks ads with a click-through-rate of P. We select a sample of size N and examine the sample's conversion rate, denoted by hat{P}, what is the minimum sample size N such that Probability( ABS(hat{P} - P) < DELTA ) = 95%. In other words (this is my translation), find the minimum sample size N such that our sample estimate hat{P} is within DELTA of the true click through rate P, with 95% confidence.

Given two binary strings, write a function that adds them. You are not allowed to use any built in string to int conversions or parsing tools. E.g. Given "100" and "111" you should return "1011". What is the time and space complexity of your algorithm?
avatar

Data Scientist, Analytics

Interviewed at Meta

3.6
6 Mar 2015

Given two binary strings, write a function that adds them. You are not allowed to use any built in string to int conversions or parsing tools. E.g. Given "100" and "111" you should return "1011". What is the time and space complexity of your algorithm?

We have a table called ad_accounts(account_id, date, status). Status can be active/closed/fraud. A) what percent of active accounts are fraud? B) How many accounts became fraud today for the first time? C) What would be the financial impact of letting fraud accounts become active (how would you approach this question)?
avatar

Data Scientist, Analytics

Interviewed at Meta

3.6
6 Mar 2019

We have a table called ad_accounts(account_id, date, status). Status can be active/closed/fraud. A) what percent of active accounts are fraud? B) How many accounts became fraud today for the first time? C) What would be the financial impact of letting fraud accounts become active (how would you approach this question)?

I was asked about the way I would design the "people you may know" application of LinkedIn and about the way I would group "similar" people and jobs with people etc. More or less it was a discussion about collaborative filtering , classification and prediction models (k-means clustering, bayesian model, decision trees ).
avatar

Analytics Scientist

Interviewed at LinkedIn

3.8
20 Oct 2009

I was asked about the way I would design the "people you may know" application of LinkedIn and about the way I would group "similar" people and jobs with people etc. More or less it was a discussion about collaborative filtering , classification and prediction models (k-means clustering, bayesian model, decision trees ).

HR manager has asked me: Do you own a house? Are you married? Do you have children and how many? etc. The was no reason for asking these questions. I felt disrespected when i heard them. My enthusiasm for GSK melted like snow is a sunny day. I didnt have anything to hide, but i felt undermined and devalued.
avatar

Analytical Scientist

Interviewed at GSK

4
1 July 2014

HR manager has asked me: Do you own a house? Are you married? Do you have children and how many? etc. The was no reason for asking these questions. I felt disrespected when i heard them. My enthusiasm for GSK melted like snow is a sunny day. I didnt have anything to hide, but i felt undermined and devalued.

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