How can you tell if a given coin is biased?
Lead Data Scientist Interview Questions
32,592 lead data 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.
Given 25 swimmers and a pool with five lanes, what is the minimum number of heats needed to determine the three fastest swimmers in the group?
Pick up a coin C1 given C1+C2 with probability of trials p(h1)=.7, p(h2)=.6 and doing 10 trials. And what is the probability that the given coin you picked is C1 given you have 7 heads and 3 tails?
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)?
You have a table with appID, eventID, and timestamp. eventID is either 'click' or 'impression'. Calculate the click through rate. Now do it in for each app.
is technical test score necessary to crack all rounds of interview
What's your strengths for this position
If revenue is down 1% and time spent is up 2%, what do you infer/ decide?
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