Premium Employer

i

This company page is being actively managed by Siemens Team. If you also belong to the team, you can get access from here

Siemens Verified Tick

Compare button icon Compare button icon Compare

Filter interviews by

Siemens Data Scientist Interview Questions and Answers

Updated 3 Feb 2025

Siemens Data Scientist Interview Experiences

3 interviews found

Interview experience
3
Average
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Company Website and was interviewed before Dec 2023. There was 1 interview round.

Round 1 - One-on-one 

(1 Question)

  • Q1. Tell me a project you did in school that shows innovation?

Data Scientist Interview Questions & Answers

user image Shaktiprasad Rudrawar

posted on 3 Feb 2025

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I was interviewed before Feb 2024.

Round 1 - Group Discussion 

Predictive modeling project

Round 2 - Technical 

(1 Question)

  • Q1. Explain the project and that related questions only.

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

I applied via Campus Placement

Interview Preparation Tips

Round: Resume Shortlist
Experience: It was a brief 15 minute interview and done!
Tips: Be fully prepared on your resume.

General Tips: Be fully prepared on reume
Skill Tips: Be fully prepared on resume
Skills: Basics Of Machine Learning
Duration: 2
College Name: IIT Madras
Motivation: Intrest in data science

Data Scientist Jobs at Siemens

View all

Interview questions from similar companies

Interview Questionnaire 

1 Question

  • Q1. First Round: Basic Statistics, Basic Python Programming, Past Projects. Second Round: Past Projects, Questions from computer vision, NLP, SQL, Basic Python.
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
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Basics and Fundamentals

Round 2 - HR 

(2 Questions)

  • Q1. Reason for job switch
  • Ans. 

    Seeking new challenges and opportunities for growth in a different environment.

    • Looking for a more challenging role to further develop skills

    • Interested in exploring new technologies and methodologies

    • Seeking a better work-life balance or company culture

    • Opportunity for career advancement or higher salary

    • Desire for a change in industry or focus area

  • Answered by AI
  • Q2. Work Culture Expectations
Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
No response

I applied via Job Portal and was interviewed in Jul 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Python programming for 45 for minutes

Round 2 - Technical 

(2 Questions)

  • Q1. What are the hyperparameters of SVM
  • Ans. 

    Hyperparameters of SVM include C, kernel, gamma, degree, and coef0.

    • C: Regularization parameter that controls the trade-off between achieving a low error on the training data and minimizing model complexity.

    • Kernel: Specifies the type of hyperplane used to separate the data.

    • Gamma: Kernel coefficient for 'rbf', 'poly', and 'sigmoid' kernels.

    • Degree: Degree of the polynomial kernel function.

    • Coef0: Independent term in kernel...

  • Answered by AI
  • Q2. How to tune that hyperparameters
  • Ans. 

    Hyperparameters can be tuned using techniques like grid search, random search, and Bayesian optimization.

    • Grid search: Exhaustively search through a specified subset of hyperparameters.

    • Random search: Randomly sample hyperparameter combinations.

    • Bayesian optimization: Use probabilistic models to predict the performance of different hyperparameter configurations.

  • Answered by AI

Skills evaluated in this interview

Interview Questionnaire 

2 Questions

  • Q1. Three skills required to be a good data scientist?
  • Q2. Answer: Curious , Extremely argumentative and judgemental
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
-
Result
No response

I applied via Naukri.com and was interviewed in Jul 2024. There was 1 interview round.

Round 1 - Technical 

(6 Questions)

  • Q1. Which GenAI projects I have worked on
  • Q2. What is the context window in LLMs
  • Ans. 

    Context window in LLMs refers to the number of surrounding words considered when predicting the next word in a sequence.

    • Context window helps LLMs capture dependencies between words in a sentence.

    • A larger context window allows the model to consider more context but may lead to increased computational complexity.

    • For example, in a context window of 2, the model considers 2 words before and 2 words after the target word fo

  • Answered by AI
  • Q3. What is top_k parameter
  • Ans. 

    top_k parameter is used to specify the number of top elements to be returned in a result set.

    • top_k parameter is commonly used in machine learning algorithms to limit the number of predictions or recommendations.

    • For example, in recommendation systems, setting top_k=5 will return the top 5 recommended items for a user.

    • In natural language processing tasks, top_k can be used to limit the number of possible next words in a

  • Answered by AI
  • Q4. What are regex patterns in python
  • Ans. 

    Regex patterns in Python are sequences of characters that define a search pattern.

    • Regex patterns are used for pattern matching and searching in strings.

    • They are created using the 're' module in Python.

    • Examples of regex patterns include searching for email addresses, phone numbers, or specific words in a text.

  • Answered by AI
  • Q5. What are iterators and tuples
  • Ans. 

    Iterators are objects that allow iteration over a sequence of elements. Tuples are immutable sequences of elements.

    • Iterators are used to loop through elements in a collection, like lists or dictionaries

    • Tuples are similar to lists but are immutable, meaning their elements cannot be changed

    • Example of iterator: for item in list: print(item)

    • Example of tuple: my_tuple = (1, 2, 3)

  • Answered by AI
  • Q6. Do I have REST API experience
  • Ans. 

    Yes, I have experience working with REST APIs in various projects.

    • Developed RESTful APIs using Python Flask framework

    • Consumed REST APIs in data analysis projects using requests library

    • Used Postman for testing and debugging REST APIs

  • Answered by AI

Skills evaluated in this interview

Siemens Interview FAQs

How many rounds are there in Siemens Data Scientist interview?
Siemens interview process usually has 1-2 rounds. The most common rounds in the Siemens interview process are One-on-one Round, Group Discussion and Technical.
How to prepare for Siemens 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 Siemens. The most common topics and skills that interviewers at Siemens expect are Python, Machine Learning, Computer science, Data Analysis and Data Mining.

Tell us how to improve this page.

Siemens Data Scientist Interview Process

based on 2 interviews

Interview experience

4
  
Good
View more
Join Siemens #TransformTheEverydayWithUS
Siemens Data Scientist Salary
based on 77 salaries
₹5.5 L/yr - ₹22.8 L/yr
9% less than the average Data Scientist Salary in India
View more details

Siemens Data Scientist Reviews and Ratings

based on 2 reviews

4.8/5

Rating in categories

4.8

Skill development

4.8

Work-life balance

4.8

Salary

5.0

Job security

5.0

Company culture

4.8

Promotions

4.6

Work satisfaction

Explore 2 Reviews and Ratings
Data Scientist

Bangalore / Bengaluru

8-13 Yrs

Not Disclosed

Data Scientist

Bangalore / Bengaluru

8-13 Yrs

Not Disclosed

Data Scientist/Data Analyst

Panaji

3-5 Yrs

Not Disclosed

Explore more jobs
Senior Software Engineer
1.6k salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Software Developer
1.6k salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Software Engineer
1.5k salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Manager
604 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Senior Executive
481 salaries
unlock blur

₹0 L/yr - ₹0 L/yr

Explore more salaries
Compare Siemens with

Schneider Electric

4.1
Compare

Siemens Energy

4.1
Compare

ABB

4.1
Compare

BHEL

4.1
Compare
Did you find this page helpful?
Yes No
write
Share an Interview