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Ripik.ai Data Scientist Interview Questions, Process, and Tips
Updated
18 Oct 2023
1 Ripik.ai Data Scientist Interview Experience
4 questions found
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Anonymous
Interview experience
Average
Difficulty level
Moderate
Duration
-
Result
-
I was interviewed in Apr 2023.
2 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 (4 Questions)
- Q1. Q. What is Bagging and Boosting? View Answers (1)
- Q2. Q. What are Hyperparameters? What is Hyperparameter tuning? View Answers (1)
- Q3. What is covariance and colinearity? View Answers (1)
- Q4. What is Chi-square test? View Answers (1)
Skills evaluated in this interview
Top trending discussions
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Interview Tips & Stories
1w
tallented
·
works at
Myntra
Is Job hopping really bad? I don't think so!
I once interviewed a candidate who had switched 3 jobs all within a span of 1-2 years.
My colleague suggested me not to hire him as frequent switches show instability.
However, I was confident about the candidate and went on with hiring him.
Yesterday he completed 3rd year anniversary with my team.
It's 2024, job-hopping often says more about the companies than the employee.
People rarely leave when they're treated well, paid fairly, given room to grow, and part of a positive #WorkCulture.
But if you provide a toxic workplace, then how can you expect employees to stay with you!
Got a question about Ripik.ai?
Ask anonymously on communities.
Interview questions from similar companies
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
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
-
I applied via Naukri.com and was interviewed in Jul 2024.
1 Interview Round
1
Technical Round (1 Question)
- Q1. Pandas basics and SQL joins nlp Add Answer
Interview Preparation Tips
Interview preparation tips for other job seekers - It was good
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)
Interview experience
Average
Difficulty level
-
Duration
-
Result
-
1 Interview Round
1
Coding Test Round
Numpy,pandas,data analysis
Ripik.ai Interview FAQs
How many rounds are there in Ripik.ai Data Scientist interview?
Ripik.ai interview process usually has 2 rounds. The most common rounds in the Ripik.ai interview process are Resume Shortlist and Technical.
How to prepare for Ripik.ai 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 Ripik.ai. The most common topics and skills that interviewers at Ripik.ai expect are Data Science, Python, Tableau, Azure and Power Bi.
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Ripik.ai Data Scientist Reviews and Ratings
based on 2 reviews
Rating in categories
|
Data Scientist
7
salaries
|  ₹12 L/yr - ₹29 L/yr |
|
Backend Developer
5
salaries
| ₹12.5 L/yr - ₹38 L/yr |
|
Product Manager
5
salaries
| ₹28 L/yr - ₹30 L/yr |
|
Front end Engineer
5
salaries
| ₹11 L/yr - ₹12.9 L/yr |
|
Back End Engineer
4
salaries
| ₹13 L/yr - ₹20.5 L/yr |
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