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Itobuz Technologies Principal Data Scientist Interview Questions, Process, and Tips
Updated
21 Mar 2023
1 Itobuz Technologies Principal Data Scientist Interview Experience
21 questions found
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Anonymous
Interview experience
Good
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Selected
I applied via Approached by Company and was interviewed in Sep 2022.
4 Interview Rounds
1
Resume Shortlist Round
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
2
Technical Round (3 Questions)
- Q1. Share your most recent project description and how you reach to the solution to it ? View Answers (1)
- Q2. Python coding related questions Add Answer
- Q3. Statistical problem related questions Add Answer
3
One-on-one Round (14 Questions)
- Q1. What all you know about Multivariate Analysis ? View Answers (1)
- Q2. What is multivariate time series and how to model it ? View Answers (1)
- Q3. Is it always important to apply ML algorithms to solve any statistical problem? View Answers (1)
- Q4. What all you know about Anomaly detection? View Answers (1)
- Q5. Do you know about Event Detection? View Answers (1)
- Q6. Have you heard about Gaussian Mixture Model? Can you explain it with an proper industrial example? View Answers (1)
- Q7. How can you use GMM in anomaly detection? View Answers (1)
- Q8. Which one is more robust for Anomaly detection? Tukey's method of IQR or Z-Score method or GMM ? View Answers (1)
- Q9. What makes GMM robust to the Anomaly detection? View Answers (1)
- Q10. How to detect anomalies in Multivariate Time Series ? View Answers (1)
- Q11. What is more robust to outliers? Mean, median or mode ? View Answers (1)
- Q12. What is Mahalanobis Distance? Can you illustrate it's assumptions ? View Answers (1)
- Q13. What is the difference between Euclidean distance and Mahalanobis Distance? View Answers (1)
- Q14. Do you know any Anomaly detection method that will work without Normality Assumptions? View Answers (1)
4
HR Round (4 Questions)
- Q1. Describe yourself in 3 word ? View Answers (1)
- Q2. What's your hobby and why ? View Answers (1)
- Q3. How do you score yourself in interpersonal skills and why ? View Answers (1)
- Q4. Tell me why do you think you're fit for this role ? View Answers (1)
Interview Preparation Tips
Interview preparation tips for other job seekers - Prepare yourself with good knowledge of python, latest technologies introducing in Data Science and have good knowledge of Statistics. Questions are common but they'll ask for explanation in every single step.
Skills evaluated in this interview
Interview questions from similar companies
Interview experience
Poor
Difficulty level
Moderate
Duration
2-4 weeks
Result
No response
I applied via Referral and was interviewed in Nov 2024.
1 Interview Round
1
Technical Round (2 Questions)
- Q1. SQL and pandas coding Add Answer
- Q2. Resume projects deep dive Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - No matter what kinds of questions indicated in HR email, be prepared for behavioral questions all the time
Interview experience
Average
Difficulty level
Moderate
Duration
Less than 2 weeks
Result
Selected
I applied via Approached by Company and was interviewed in Aug 2024.
2 Interview Rounds
1
Coding Test Round
*****, arjumpudi satyanarayana
2
Technical Round (5 Questions)
- Q1. What is the python language View Answers (1)
- Q2. What is the code problems View Answers (1)
- Q3. What is the python code View Answers (1)
- Q4. What is the project View Answers (1)
- Q5. What is the lnderssip View Answers (1)
Interview Preparation Tips
Topics to prepare for IBM Data Scientist interview:
- Python
- Machine Learning
Skills evaluated in this interview
Interview experience
Excellent
Difficulty level
Easy
Duration
Less than 2 weeks
Result
Not Selected
I applied via Naukri.com and was interviewed in Jul 2024.
2 Interview Rounds
1
One-on-one Round (3 Questions)
- Q1. Tell me about yourself? View Answers (1)
- Q2. Describe in detail about one of my main project. View Answers (1)
- Q3. Few questions related to my projects. Add Answer
2
Technical Round (1 Question)
- Q1. Questions on Basics python(Since i am fresher) Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - Overall, it was a good experience for me. Very friendly interviewers. I couldn't make it after the second round. I came to know where I was lacking.
Interview experience
Good
Difficulty level
Moderate
Duration
-
Result
No response
I applied via Naukri.com and was interviewed in Jul 2024.
1 Interview Round
1
Technical Round (6 Questions)
- Q1. Which GenAI projects I have worked on Add Answer
- Q2. What is the context window in LLMs View Answers (1)
- Q3. What is top_k parameter View Answers (1)
- Q4. What are regex patterns in python View Answers (1)
- Q5. What are iterators and tuples View Answers (1)
- Q6. Do I have REST API experience View Answers (1)
Skills evaluated in this interview
Interview experience
Good
Difficulty level
Hard
Duration
Less than 2 weeks
Result
Selected
I applied via Recruitment Consulltant and was interviewed in Jul 2024.
3 Interview Rounds
1
Technical Round (1 Question)
- Q1. Deep questions about Machine learning, Deep learning, Generative AI, the working of transformers etc. Add Answer
2
Technical Round (1 Question)
- Q1. Deep questions about Machine learning and deep learning with projects done. This was a client round. Add Answer
3
HR Round (1 Question)
- Q1. Salary discussion, project discussion, why change? Why Wipro Add Answer
G R
Interview experience
Average
Difficulty level
Moderate
Duration
4-6 weeks
Result
No response
I applied via Naukri.com and was interviewed in Mar 2024.
3 Interview Rounds
1
One-on-one Round (3 Questions)
- Q1. Machine learning algorithms. View Answers (1)
- Q2. Credit risk life cycle Add Answer
- Q3. Pandas related questions Add Answer
2
One-on-one Round (3 Questions)
- Q1. Steps of developing a credit risk model View Answers (1)
- Q2. Pandas related questions Add Answer
- Q3. Bagging and Boosting Add Answer
3
One-on-one Round (3 Questions)
- Q1. Explain AIC and BIC View Answers (1)
- Q2. Difference between xgboost and lightgbm View Answers (1)
- Q3. Bagging and boosting Add Answer
Skills evaluated in this interview
Interview experience
Average
Difficulty level
-
Duration
-
Result
-
1 Interview Round
1
Technical Round (2 Questions)
- Q1. Number of Duplicate words in a string View Answers (1)
- Q2. Chunking in LLM View Answers (1)
Skills evaluated in this interview
Mr. A K
Interview experience
Average
Difficulty level
-
Duration
-
Result
-
2 Interview Rounds
1
Aptitude Test Round
Very easy and but selection is basis
2
Coding Test Round
We are looking to hire incredible Python Developers interested in working with a US Startup. If you are truly passionate about designing and building machine learning solutions using python, you’re looking for a job where you can work from anywhere- and we mean anywhere and are excited about gaining experience in a Startup, then this is the position for you. Be it your next vacation spot or a farm out in the country, if you have working internet, you can work remotely from your chosen location. No long commutes or rushing to in-person meetings. Ready to work hard and play harder? Let’s work together.
Interview Preparation Tips
Interview preparation tips for other job seekers - Should have:
• Excellent understanding of machine learning techniques and algorithms, such as Neural
Network, Random Forest, Gradient Boosting
• Experience with common data science toolkits, such as Anaconda, Python, SQL
• Strong data visualization skills and ability to present insights from analysis.
• Proficient in writing queries using SQL.
• Good programming skills in Python, with an ability to write production ready code.
Nice to have:
• Experience with working with version control software like Git etc.
• Experience with AWS Stack, Apache Spark is preferred.
• Excellent understanding of machine learning techniques and algorithms, such as Neural
Network, Random Forest, Gradient Boosting
• Experience with common data science toolkits, such as Anaconda, Python, SQL
• Strong data visualization skills and ability to present insights from analysis.
• Proficient in writing queries using SQL.
• Good programming skills in Python, with an ability to write production ready code.
Nice to have:
• Experience with working with version control software like Git etc.
• Experience with AWS Stack, Apache Spark is preferred.
Interview experience
Good
Difficulty level
-
Duration
-
Result
-
1 Interview Round
1
Technical Round (4 Questions)
- Q1. What is stemming and lematization View Answers (1)
- Q2. Python coding about default values in class and funtions Add Answer
- Q3. Kmeans clustering evaluation Add Answer
- Q4. How to measure multicollinearity View Answers (1)
Itobuz Technologies Interview FAQs
How many rounds are there in Itobuz Technologies Principal Data Scientist interview?
Itobuz Technologies interview process usually has 4 rounds. The most common rounds in the Itobuz Technologies interview process are Resume Shortlist, Technical and One-on-one Round.
How to prepare for Itobuz Technologies Principal 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 Itobuz Technologies . The most common topics and skills that interviewers at Itobuz Technologies expect are Artificial Intelligence, Data Science, Machine Learning, Pattern Recognition and Python.
What are the top questions asked in Itobuz Technologies Principal Data Scientist interview?
Some of the top questions asked at the Itobuz Technologies Principal Data Scientist interview -
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