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

Q1. Snowflake related, database warehouse, python dataframes related
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Q2. Power BI related questions, time intelligence, DAX, PowerBI service
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Q1. Manager discussion, expectation setting
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Q1. About the company, Compensation expectation, benefits overview, relocation etc.
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Q1. Tech stack discussion, project discussion etc.
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Q1. Introduction your self
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Q2. What are the language you learned
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I have learned multiple programming languages including Python, R, SQL, and Java.
• Python

• R

• SQL

• Java
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Q1. What is difference between lstm and rnn
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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...read more
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Q1. What are different evaluation matrix ?
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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...read more
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Q1. Tell me about yourself
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Q2. Questions from projects which was mentioned on resume
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Q1. Fitment based questions
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Q2. Explain a project
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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
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Math, English, reasoning

Q1. Asked me about expected salary
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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.

Q1. CV and basic of ML
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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
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Q1. Ethical questions
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Q2. Besic HR questions like why this company
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