CARS24.com Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 10 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at CARS24.com.
CARS24.com
Data Scientist
Entry Average Negative experience No offer 2 rounds
Interview process
Recruiter call Technical screen Take home
Interview formats
Technical Other
I was contacted for a Data Scientist role. I cleared the first round, and then was given an assignment. After submission, I received no response. I contacted HR, but got no answer. A few days later, HR called me back to interview for the same position. After clearing the first round again, I was sent another assignment. Upon submission, there was again no reply. When I tried calling again, they simply did not answer the phone. What kind of behavior is this from the HRs??
Confirmed questions2 questions
- Machine learning questions were asked in Round 1.
- An assignment was given for the Data Scientist role.
CARS24.com
Senior Data Scientist
Senior Average Positive experience Accept offer 4 rounds
Interview process
Technical screen Take home Technical screen Background check Offer
Interview formats
Technical Case Behavioral
It was a few rounds. First round was technical, I was asked about traditional ML. Then there was a case study which I had to submit within a week. After that there was another technical round discussing the case study and my previous experience. After that there was a behavioural round with the hiring manager. And then an HR round for salary discussion.
Confirmed questions8 questions
- Regarding traditional ML, how would you handle categorical features with a large number of unique values?
- How can class imbalance be addressed in model training?
- Could you explain XGBoost's approach to handling missing (NaN) values?
CARS24.com
Data Scientist
Mid Average Negative experience Decline offer 2 rounds
Interview process
Recruiter call Technical screen Technical screen
Interview formats
Technical Behavioral
Recruiter called me for an interview, which was on G-meet. The first round had a senior manager who asked questions about probability and statistics, but it was clear she didn't really understand them herself, and couldn't grasp different approaches to the same problem. In the second round, someone from the managerial department conducted the interview for a Data Scientist position. They seemed to be looking for someone for a managerial post, even though the role was for a DS (not senior or managerial). This interviewer also had no clue about probabilities and just insisted on answering questions as if I were applying for a consultant role, which was weird. The attitude wasn't great from either the first or second round manager.
Confirmed questions4 questions
- Questions about probability and statistics.
- The Russian Revolver with 6 bullets question (I don't know what was Russian about it).
- Linear vs PCA
CARS24.com Data Scientist Interview Questions
Quoted word for word from CARS24.com interview reports.
“What's the difference between a Decision Tree and a Random Forest?”
Read reports →“What is the distinction between oversampling techniques and the use of class weights?”
Read reports →“What is linear regression?”
Read reports →“Could you explain XGBoost's approach to handling missing (NaN) values?”
Read reports →“What are Bagging and Boosting?”
Read report →“How can class imbalance be addressed in model training?”
Read report →“What are the concepts of Data Engineering as they relate to Data Science?”
Read report →“Could you explain what a REST API is?”
Read report →“Can you explain the Bias vs Variance Tradeoff?”
Read report →Formats, difficulty and experience
Across all 10 CARS24.com interview reports.