How do you measure newsfeed health?
Data Scientists Interview Questions
54,242 data scientists interview questions shared by candidates
What is the most important thing about being a scientist?
Given an array of sorted numbers ex: [1,1,1,2,2,2,2,2,2,2,3,3,3,3] find the indices where a single number starts and ends (ex: 1, start index=0, end_index=2). You have to solve this in log(n) complexity, you cannot go through every sample (n complexity).
Two tables: User actions: date|sessio_id|userid|event session details: date|Sessionid|timespent_Sec|userid 1. Identify avg time spent per user per day 2. Create a histogram of duration on x axis, no of users on y axis which is populated by volume in each bucket Product questions: 1. Wants to add a new banner on FB Market place which suggests to sell something on facebook , should they do it, what should be done to evaluate it ? 2. Market place transactions happen through messages - these messages went down by 10% in a month, should they be worried ? How would you go about analyzing it?
The SQL question was quite easy. Given a table with detailed customer complaint tickets of different types, calculate the share of processed tickets within each type.
Given a string like 'abc', print out all the strings of combination of the same length as the original string. Like 'abc', 'acb', 'bca', 'bac', 'cab', 'cba'
In data scientist job, you can separate into three parts: Data Cleaning, Data Analysis, and Visualization. Which part would you prefer to do?
They focus a lot on their leadership principles and your resume
1- Machine Learning concepts 2- Data Structure Case Study (Very easy) 3- Coding (Easy but they need hands-on exp) And Finally, Leadership (14 principles)
Q: Given a function with inputs --an array with N randomly sorted numbers, and an int K, return output in an array with the K largest numbers. Q: 1. How does GMM/HMM work 2. Name some dimensional reduction method; I said PCA and we talked a bit about how PCA works and what's the physical intuiation 3. How K-means work, what kind of distance metric would you choose, what if different features have different dynamic range 4. How GMM works (EM algorithm)
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