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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 Resume 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.

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Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement 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
5
Excellent
Difficulty level
-
Process Duration
-
Result
-

I applied via Campus Placement

Round 1 - Aptitude Test 

Basic questions on data science, machine learning

Round 2 - Technical 

(1 Question)

  • Q1. Go through your resume and mentioned projects, most questions will be asked about your machine learning or data science projects
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
4-6 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Jun 2022. There were 5 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 Resume tips
Round 2 - Technical 

(2 Questions)

  • Q1. Snowflake related, database warehouse, python dataframes related
  • Q2. Power BI related questions, time intelligence, DAX, PowerBI service
Round 3 - One-on-one 

(1 Question)

  • Q1. Manager discussion, expectation setting
Round 4 - HR 

(1 Question)

  • Q1. About the company, Compensation expectation, benefits overview, relocation etc.
Round 5 - Team fit test 

(1 Question)

  • Q1. Tech stack discussion, project discussion etc.

Interview Preparation Tips

Interview preparation tips for other job seekers - Read more about data engineering, power BI time intelligence etc.
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Not Selected

I applied via Job Fair and was interviewed in May 2024. There was 1 interview round.

Round 1 - HR 

(2 Questions)

  • Q1. Introduction your self
  • Q2. What are the language you learned
  • Ans. 

    I have learned multiple programming languages including Python, R, SQL, and Java.

    • Python

    • R

    • SQL

    • Java

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - first prepare intruduction and what are languages we learned in academic .
Interview experience
4
Good
Difficulty level
Easy
Process Duration
4-6 weeks
Result
Selected Selected

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

Round 1 - Technical 

(1 Question)

  • Q1. What is difference between lstm and rnn
  • Ans. 

    LSTM is a type of RNN that addresses the vanishing gradient problem by using memory cells.

    • RNN stands for Recurrent Neural Network, a type of neural network that processes sequential data.

    • LSTM stands for Long Short-Term Memory, a type of RNN that includes memory cells to retain information over long sequences.

    • LSTM is designed to overcome the vanishing gradient problem, which occurs when training RNNs on long sequences.

    • L...

  • Answered by AI
Round 2 - Technical 

(1 Question)

  • Q1. What are different evaluation matrix ?
  • Ans. 

    Evaluation matrices are used to assess the performance of models in data science.

    • Confusion matrix: used to evaluate the performance of classification models.

    • Precision, recall, and F1 score: measures for binary classification models.

    • Mean squared error (MSE): evaluates the performance of regression models.

    • R-squared: assesses the goodness of fit for regression models.

    • Area under the ROC curve (AUC-ROC): evaluates the perfo...

  • Answered by AI

Skills evaluated in this interview

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Nov 2023. There were 4 interview rounds.

Round 1 - One-on-one 

(2 Questions)

  • Q1. Tell me about yourself
  • Q2. Questions from projects which was mentioned on resume
Round 2 - One-on-one 

(2 Questions)

  • Q1. Fitment based questions
  • Q2. Explain a project
  • Ans. 

    Developed a machine learning model to predict customer churn for a telecom company.

    • Collected and cleaned customer data including usage patterns and demographics

    • Used classification algorithms like Random Forest and Logistic Regression to build the model

    • Evaluated model performance using metrics like accuracy, precision, and recall

  • Answered by AI
Round 3 - Aptitude Test 

Math, English, reasoning

Round 4 - HR 

(1 Question)

  • Q1. Asked me about expected salary
Interview experience
4
Good
Difficulty level
Easy
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Campus Placement and was interviewed before Jul 2023. There were 3 interview rounds.

Round 1 - Group Discussion 

It was campus placement. We were givien the topic "future of AI and ML in automobile industry". The time given was around 15mins. The explained the process in great detail and very clearly.

Round 2 - Technical 

(2 Questions)

  • Q1. CV and basic of ML
  • Q2. What if questions. For eg, if you want to launch a new EV in market then what will be your approach What if you are the CEO.. ETC
Round 3 - HR 

(2 Questions)

  • Q1. Ethical questions
  • Q2. Besic HR questions like why this company

Interview Preparation Tips

Topics to prepare for Tata Motors Data Scientist interview:
  • Machine Learning
  • Tata motors history
  • Your CV
Interview preparation tips for other job seekers - My advice is be cool and true to yourself. They tried to grill you and see how you perform under pressure.

I applied via Recruitment Consultant and was interviewed in Jul 2021. There was 1 interview round.

Interview Questionnaire 

3 Questions

  • Q1. Project Based Questions
  • Q2. Which Algorithms you used , statistical measured , challenges , outcome
  • Ans. 

    I have used various algorithms such as linear regression, decision trees, and neural networks to analyze data and make predictions.

    • Used linear regression to predict housing prices based on various features

    • Implemented decision trees to classify customer behavior and recommend products

    • Utilized neural networks for image recognition tasks

    • Challenges included dealing with missing data and overfitting

    • Outcome was improved accu

  • Answered by AI
  • Q3. Why a specific algorithm was used. Reasoning.
  • Ans. 

    The algorithm was chosen based on its ability to handle large datasets and its accuracy in predicting outcomes.

    • The algorithm was selected after evaluating its performance on similar datasets.

    • It was chosen for its ability to handle high-dimensional data and its scalability.

    • The algorithm was compared to other models and found to have the highest accuracy in predicting outcomes.

    • The choice of algorithm also depends on the

  • Answered by AI

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare detail answers on all the projects mentioned in CV.

Skills evaluated in this interview

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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 HR.
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
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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
36% 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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