kipi.ai Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 6 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at kipi.ai.
kipi.ai
Data Scientist
Entry Average Positive experience No offer 3 rounds
Interview process
Recruiter call Phone screen Technical screen
Interview formats
Behavioral Technical
First my resume got shortlisted through Naukri.com. Then there was a Telephonic round which was an HR Round where they asked about my background, education, and interest in the job. Job fit questions included experience, current employment status, comfort with remote work, salary expectations, and work location. After that, there was an Interview.
Confirmed questions4 questions
- Could you explain what Gradient Descent is?
- What do you understand by activation function?
- Can you tell me about Descriptive and Generative models?
kipi.ai
Data Scientist
Mid Average Negative experience No offer 3 rounds
Interview process
Technical screen Technical screen Recruiter call
Interview formats
Technical Technical
The interviewer was good and asked relevant questions for the role. There were 3 rounds in total. Two were technical interviews, but they kept rescheduling. The last round was with the CTO or CEO. They rejected me after I answered all questions, which felt like a waste of time as they didn't give a reason. This happened to others too, so maybe don't bother applying.
Confirmed questions4 questions
- Can you tell me about your experience with Python?
- How proficient are you in SQL?
- What is your background in Data Science?
kipi.ai
Senior Data Scientist
Senior Easy Negative experience No offer 3 rounds
Interview process
Technical screen Technical screen Technical screen
Interview formats
Technical Technical Behavioral
The interview process was pretty straightforward. There were three rounds in total, each lasting about half an hour. The first round focused on basic Machine Learning concepts, and the second round delved into Generative AI questions. The third round was with the co-founder. He joined late by 10 minutes and asked 5 questions in 5 minutes. Even if you answered them well, you were rejected without a proper explanation, making it feel like a waste of time.
Confirmed questions2 questions
- Can you explain how random forest functions and what distinguishes it from a decision tree?
- What are the methods for evaluating large language models?
kipi.ai Data Scientist Interview Questions
Quoted word for word from kipi.ai interview reports.
“What are model evaluation metrics?”
Read reports →“What are the methods for evaluating large language models?”
Read reports →“What are the different techniques for handling imbalanced datasets?”
Read reports →“Can you explain how random forest functions and what distinguishes it from a decision tree?”
Read reports →“What do you understand by activation function?”
Read report →“Explain LLM finetuning.”
Read report →“What is a RAG chatbot?”
Read report →“Could you explain what Gradient Descent is?”
Read report →“What are the basics of machine learning?”
Read report →Formats, difficulty and experience
Across all 6 kipi.ai interview reports.