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Mercedes-Benz Research and Development India Data Scientist Interview Questions and Answers

Updated 20 Nov 2024

Mercedes-Benz Research and Development India Data Scientist Interview Experiences

3 interviews found

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Aptitude Test 

Technical and Code Snippet MCQs

Round 2 - Technical 

(1 Question)

  • Q1. Technical depending on which profile you are interviewing for. Some case studies as well.
Round 3 - Mangerial 

(1 Question)

  • Q1. Situation based question, some technical as well.
Round 4 - HR 

(1 Question)

  • Q1. Behavioral, HR based questions.
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(1 Question)

  • Q1. Technical Project Related Questions
Round 3 - One-on-one 

(1 Question)

  • Q1. Technical Project Related Questions
Round 4 - One-on-one 

(1 Question)

  • Q1. Technical Project Related and Basics of Python and Data Science

Interview Preparation Tips

Interview preparation tips for other job seekers - Be Firm on your Past Work and projects. Learn technical in and Around of the projects worked and related to the role being hired.

Data Scientist Interview Questions Asked at Other Companies

Q1. for a data with 1000 samples and 700 dimensions, how would you fi ... read more
Q2. Special Sum of Array Problem Statement Given an array 'arr' conta ... read more
asked in Affine
Q3. you have a pandas dataframe with three columns, filled with state ... read more
Q4. Clone a Linked List with Random Pointers Given a linked list wher ... read more
asked in Coforge
Q5. coding question of finding index of 2 nos. having total equal to ... read more
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via campus placement at National Institute of Technology, Surathkal and was interviewed before Nov 2023. There was 1 interview round.

Round 1 - Technical 

(2 Questions)

  • Q1. Regression techniques
  • Q2. Basic python codes

Interview Preparation Tips

Interview preparation tips for other job seekers - Be clear with basic concepts

Interview questions from similar companies

Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
-
Result
No response

I was interviewed in May 2024.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about your self?
  • Q2. What is maths and stats
  • Ans. 

    Maths and stats refer to the study of mathematical concepts and statistical methods for analyzing data.

    • Maths involves the study of numbers, quantities, shapes, and patterns.

    • Stats involves collecting, analyzing, interpreting, and presenting data.

    • Maths is used to solve equations, calculate probabilities, and model real-world phenomena.

    • Stats is used to make informed decisions, draw conclusions, and test hypotheses.

    • Both ma...

  • Answered by AI
Round 2 - Coding Test 

Confusion matrix what are your job rolls explain me Gradient boosting algorithm?

Interview Preparation Tips

Interview preparation tips for other job seekers - Be very serious on every answer
Interview experience
2
Poor
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Machine learning related questions and the theory of its operation
Interview experience
1
Bad
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Naukri.com and was interviewed in Apr 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all tips
Round 2 - Technical 

(2 Questions)

  • Q1. Coding question of finding index of 2 nos. having total equal to target in a list, without using nested for loop? l= [2,15,5,7] t= 9 output》》[0,3]
  • Ans. 

    Finding index of 2 numbers having total equal to target in a list without nested for loop.

    • Use dictionary to store the difference between target and each element of list.

    • Iterate through list and check if element is in dictionary.

    • Return the indices of the two elements that add up to target.

  • Answered by AI
  • Q2. What is random forest, knn?
  • Ans. 

    Random forest and KNN are machine learning algorithms used for classification and regression tasks.

    • Random forest is an ensemble learning method that constructs multiple decision trees and combines their outputs to make a final prediction.

    • KNN (k-nearest neighbors) is a non-parametric algorithm that classifies new data points based on the majority class of their k-nearest neighbors in the training set.

    • Random forest is us...

  • Answered by AI
Round 3 - Technical 

(4 Questions)

  • Q1. Ll coding on python dictionary
  • Q2. Find unique keys in 2 dictionaries
  • Ans. 

    To find unique keys in 2 dictionaries.

    • Create a set of keys for each dictionary

    • Use set operations to find the unique keys

    • Return the unique keys

  • Answered by AI
  • Q3. Aws ec2 model deployment procedure
  • Ans. 

    AWS EC2 model deployment involves creating an instance, installing necessary software, and deploying the model.

    • Create an EC2 instance with the desired specifications

    • Install necessary software and dependencies on the instance

    • Upload the model and any required data to the instance

    • Deploy the model using a web server or API

    • Monitor the instance and model performance for optimization

  • Answered by AI
  • Q4. Overloading concept of oop
  • Ans. 

    Overloading is the ability to define multiple methods with the same name but different parameters.

    • Overloading allows for more flexibility in method naming and improves code readability.

    • Examples include defining multiple constructors for a class with different parameter lists or defining a method that can accept different data types as input.

    • Overloading is resolved at compile-time based on the number and types of argume...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Coforge Data Scientist interview:
  • Python programming
  • python coding
  • dictionary functions , set funct
  • ML, DL Algorithms
  • NLP , AWS
Interview preparation tips for other job seekers - Every time had 2 to 4 panel size and all were technical. All rounds are tough as panel size is more and always extends the given time of interview.

Completed 2 rounds and from 2 weeks they have not arrange hr round.
Morever Hr is saying My profile is on hold.

Very bad rating for companys prolonged hiring process and sometime irritating as candidates like me prepare and attend the interview besides interviews are in working hours. And after completing two rounds not even scheduling Hr round only give information that your profile is on hold......

Skills evaluated in this interview

Interview experience
4
Good
Difficulty level
-
Process Duration
-
Result
-
Round 1 - HR 

(2 Questions)

  • Q1. Why do you want to join kyndryl?
  • Q2. Goals and ambitions towards kyndryl?

Interview Preparation Tips

Interview preparation tips for other job seekers - Keep practicing and you will get the job
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.

Round 1 - Technical 

(2 Questions)

  • Q1. When do we use PCA?
  • Ans. 

    PCA is used to reduce the dimensionality of data by finding the most important features.

    • PCA is used when dealing with high-dimensional data to reduce the number of features and avoid multicollinearity.

    • It helps in visualizing data in lower dimensions while retaining as much variance as possible.

    • PCA is commonly used in image processing, genetics, finance, and other fields where dimensionality reduction is needed.

  • Answered by AI
  • Q2. PCA is a dimensionality reduction technique and is used to reduce the less useful features from the dataset
Round 2 - Technical 

(1 Question)

  • Q1. LTTS data science interview

Skills evaluated in this interview

I applied via Referral and was interviewed before Dec 2021. There was 1 interview round.

Round 1 - One-on-one 

(2 Questions)

  • Q1. More ML and DL based questions. What is random forest. What is neural network. Early Stopping, Weights and Bias, Bagging and Boosting.
  • Q2. Linear Regression and Logistics Regression and difference between both.
  • Ans. 

    Linear Regression predicts continuous values while Logistic Regression predicts binary outcomes.

    • Linear Regression is used for predicting continuous values while Logistic Regression is used for predicting binary outcomes.

    • Linear Regression uses a linear approach to model the relationship between dependent and independent variables while Logistic Regression uses a logistic function to model the probability of a binary out...

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - The company is fine. Hardly any Data Science projects.

Skills evaluated in this interview

Round 1 - Coding Test 

Need Average coding skill

Round 2 - HR 

(6 Questions)

  • Q1. Why should we hire you?
  • Q2. Why are you looking for a change?
  • Q3. Where do you see yourself in 5 years?
  • Q4. What are your strengths and weaknesses?
  • Q5. Tell me about yourself.
  • Q6. Question about my Family background

Interview Preparation Tips

Interview preparation tips for other job seekers - Candidate need good coding skill for this position

Mercedes-Benz Research and Development India Interview FAQs

How many rounds are there in Mercedes-Benz Research and Development India Data Scientist interview?
Mercedes-Benz Research and Development India interview process usually has 3 rounds. The most common rounds in the Mercedes-Benz Research and Development India interview process are Technical, One-on-one Round and Resume Shortlist.
How to prepare for Mercedes-Benz Research and Development India Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Mercedes-Benz Research and Development India. The most common topics and skills that interviewers at Mercedes-Benz Research and Development India expect are Python, Data Analysis, Data Quality, Machine Learning and SQL.
What are the top questions asked in Mercedes-Benz Research and Development India Data Scientist interview?

Some of the top questions asked at the Mercedes-Benz Research and Development India Data Scientist interview -

  1. Technical Project Related and Basics of Python and Data Scie...read more
  2. Situation based question, some technical as we...read more
  3. Technical Project Related Questi...read more

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Mercedes-Benz Research and Development India Data Scientist Interview Process

based on 3 interviews

Interview experience

4
  
Good
View more
Join Mercedes-Benz Research and Development India The best or nothing.
Mercedes-Benz Research and Development India Data Scientist Salary
based on 77 salaries
₹9.1 L/yr - ₹25.2 L/yr
30% more than the average Data Scientist Salary in India
View more details

Mercedes-Benz Research and Development India Data Scientist Reviews and Ratings

based on 14 reviews

3.0/5

Rating in categories

2.9

Skill development

4.2

Work-life balance

2.6

Salary

4.1

Job security

3.3

Company culture

2.3

Promotions

2.9

Work satisfaction

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