AirBnB Data Scientist Interview Questions
AirBnB Data Scientist Interview Questions
Company Name –Airbnb
Designation – Data Science
Salary – 15 to 22 LPA depending upon current CTC and graduation college
Interview Year – 2023
AirBnB Data Scientist Interview Questions
Following is a set of questions asked in the interview at AirBnB, we request you to attempt these questions
Round 1 -Technical Interview
Topics covered –Application Data science
Mode of interview –Meet
Duration – 90 Minutes
Level of Questions –Hard
Design a recommender system for Airbnb listings.
Which tables and indexes do you need in a SQL db to manage chat threads?
How would you measure the effectiveness of our operations team?
We see a dip in page views yesterday. How would you investigate what happened?
Round 2 -Technical Interview
Topics covered –Applied Machine Learning
Mode of interview –Meet
Duration – 90 Minutes
Level of Questions –Hard
If Airbnb wanted to open a new office, how would you determine how many meeting rooms to build into it?
How would you go about designing a metric for customer service calls?
What would happen if you were to include another X in your regression model?
An important metric goes down, how would you dig into the causes?
Round 3 –Technical Interview
Topics-Machine Learning
Mode of Interview- Meet
Duration – 1 hour
Level of questions- Medium
A few questions from this round:
How does boosting work
What are the different error metrics employed in machine learning?
How would you normalize data ?
Round 4 – Hiring Manager Round
Topics covered: Resume
Mode: Hangout
Duration –1 hours
Level of Questions – Medium
A few questions below from this round:
Tell me about a time when you faced a challenge, how did you overcome it.
How have you made someone outside your immediate social circle feel that they belong?”.
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Important Resources to crack interviews (Mostly Free)
There are a few things that might be very useful for your preparation
The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews with Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics managers, etc.
Go through the watchlist which makes you uncomfortable:-
All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics
Keep Learning !!
Thanks,
