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Red Tag Data Scientist Interview Questions and Answers
1 interview found
Anonymous
Selected
I applied via Indeed and was interviewed before Oct 2022.
3 Interview Rounds
Resume Shortlist Round
One-on-one Round (1 Question)
- Q1. Tell about yourself
How many rows and columns in excel sheet
Vlookup View Answers (1)
One-on-one Round (1 Question)
- Q1. Tell me about your self Add Answer
Skills evaluated in this interview
Interview questions from similar companies
1 Interview Round
Technical Round (2 Questions)
- Q1. How to reduce model inference latency View Answers (1)
- Q2. Different sql joins and their difference View Answers (1)
Skills evaluated in this interview
Ankit Sati
2 Interview Rounds
Coding Test Round
3 Leet code mediums in 30 mins.
Technical Round (3 Questions)
- Q1. 5 ML questions in 10 mins Add Answer
- Q2. 5 Stats question in 10 mins Add Answer
- Q3. 3 LC mediums in 30 minutes View Answers (1)
Interview Preparation Tips
I applied via LinkedIn and was interviewed in Oct 2023.
3 Interview Rounds
HR Round (1 Question)
- Q1. Why do you want to leave your current job? Add Answer
Coding Test Round
SQL coding question. Medium level
Case Study Round
Explain my project and then case study regarding launching new apps
Sarthak Chauhan
Selected
I applied via LinkedIn and was interviewed before May 2023.
4 Interview Rounds
Technical Round (3 Questions)
- Q1. Linear regression Add Answer
- Q2. Probability related questions Add Answer
- Q3. Sampling and AB testing Add Answer
Technical Round (2 Questions)
- Q1. Backpropagation in neural network View Answers (1)
- Q2. Clustering (k-means, DB scan) Add Answer
Coding Test Round
1 question on array (sorting related), 1 question on string (hard problem)
Behavioral Round (1 Question)
- Q1. Behavioral questions Add Answer
Navina Kaur
Selected
I applied via Referral and was interviewed before Jun 2023.
3 Interview Rounds
One-on-one Round (1 Question)
- Q1. Resume related questions with the hiring manager Add Answer
Coding Test Round
Python for Data Science basics
Case Study Round
Optimization case study
Selected
I applied via Referral and was interviewed before Sep 2022.
6 Interview Rounds
Resume Shortlist Round
Technical Round (1 Question)
- Q1. All the questiones were asked around CV. Mostly problems related to ML, DL, NLP, mathematics behind the algorithms, case studies, alternate solutions of popular...read more Add Answer
Technical Round (1 Question)
- Q1. Same as round 1 but this round involved a lot of mathematical functions and derivations of several aspects of ML and DL. Also a lot of case studies were involve...read more Add Answer
Coding Test Round
Had to share my screen and they gave live problems to test my knowledge in python
One-on-one Round (1 Question)
- Q1. Call with hiring manager mostly on my CV and a lot of case studies. Add Answer
HR Round (1 Question)
- Q1. Typical HR round questions Add Answer
CodingNinjas
I was interviewed in Apr 2021.
4 Interview Rounds
Video Call Round (2 Questions)
Round duration - 60 Minutes
Round difficulty - Medium
I was asked two questions in this round . More emphasis was given on the theoretical aspect of the subject in this round .
- Q1. Technical Question
How can you tune the hyper parameters of XGboost algorithm?
View Answers (2) - Q2. Technical Question
Explain the hyper parameters in XGboost Algorithm .
View Answers (2)
Video Call Round (2 Questions)
Round duration - 50 Minutes
Round difficulty - Medium
This round basically tested some fundamental concepts related to Machine Learning and proper ways to implement a model.
- Q1. Technical Question
Difference between Ridge and LASSO .
View Answers (1) - Q2. Technical Question
How to fit a time series model? State all the steps you would follow.
View Answers (1)
Video Call Round (2 Questions)
Round duration - 50 Minutes
Round difficulty - Medium
This round was based on some basic concepts revolving around Deep Learning .
- Q1. Technical Question
RNN,CNN and difference between these two.
View Answers (1) - Q2. Technical Question
What are outlier values and how do you treat them?
View Answers (1)
HR Round (2 Questions)
Round duration - 30 Minutes
Round difficulty - Easy
This is a cultural fitment testing round .HR was very frank and asked standard questions. Then we discussed about my role.
- Q1. Basic HR Question
Do you know anything about the company ?
View Answers (1) - Q2. Basic HR Question
Why should we hire you ?
View Answers (1)
Interview Preparation Tips
Tip 1 : Must do Previously asked Interview as well as Online Test Questions.
Tip 2 : Do at-least 2 good projects and you must know every bit of them.
Tip 1 : Have at-least 2 good projects explained in short with all important points covered.
Tip 2 : Every skill must be mentioned.
Tip 3 : Focus on skills, projects and experiences more.
Skills evaluated in this interview
I was interviewed in Apr 2021.
7 Interview Rounds
Interview Questions
- Q1. How can you tune the hyper parameters of XGboost,Random Forest,SVM algorithm?
View Answers (2)
- Q2. What do these hyper parameters in the above mentioned algorithms actually mean?
View Answers (1)
- Q3. Difference between Ridge and LASSO and their geometric interpretation.
View Answers (1)
- Q4. How to fit a time series model? State all the steps you would follow.
View Answers (2)
- Q5. RNN,CNN and difference between these two.
View Answers (1)
- Q6. Two Case studies related to optimisation. One was cost optimization and other one was Revenue optimization. What data would you look at to solve all these. How ...read more
View Answers (3)
- Q7. Live coding on Time Series Modelling
Add Answer
- Q8. There were some HR questions as well like how would you make someone understand the difference between a classification problem and a prediction problem.
View Answers (1)
- Q9. Where do you see yourself in 3 years?
Add Answer
Interview Preparation Tips
If you don't know something,better to mention it clearly.
All the very best!
Skills evaluated in this interview
I was interviewed in Apr 2021.
7 Interview Rounds
Interview Questions
- Q1. How can you tune the hyper parameters of XGboost,Random Forest,SVM algorithm?
View Answers (2)
- Q2. What do these hyper parameters in the above mentioned algorithms actually mean?
View Answers (1)
- Q3. Difference between Ridge and LASSO and their geometric interpretation.
View Answers (1)
- Q4. How to fit a time series model? State all the steps you would follow.
View Answers (2)
- Q5. RNN,CNN and difference between these two.
View Answers (1)
- Q6. Two Case studies related to optimisation. One was cost optimization and other one was Revenue optimization. What data would you look at to solve all these. How ...read more
View Answers (3)
- Q7. Live coding on Time Series Modelling
Add Answer
- Q8. There were some HR questions as well like how would you make someone understand the difference between a classification problem and a prediction problem.
View Answers (1)
- Q9. Where do you see yourself in 3 years?
Add Answer
Interview Preparation Tips
If you don't know something,better to mention it clearly.
All the very best!
Skills evaluated in this interview
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