Cyient Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 8 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Cyient.
Cyient
Data Scientist
Lead Average Positive experience Accept offer 2 rounds
Interview process
Technical screen Recruiter call Offer
Interview formats
Technical Behavioral
It was a nice experience, and I personally liked the interviewer's attitude. The interview was a technical round, followed by an HR round. I eventually accepted the offer, and overall it was great to have such a good interview session with the team lead.
Confirmed questions2 questions
- Tell me about Optical Character Recognition.
- How would you approach a coding automation problem?
Cyient
Data Scientist
Mid Average Neutral experience Accept offer 2 rounds
Interview process
Technical screen Phone screen
Interview formats
Technical Coding Behavioral
It was mostly questions about Machine Learning in R and Data Science projects I've done. They also asked some SQL questions to check my database skills and a bit of basic maths.
Confirmed questions5 questions
- Could you explain the workings of Random Forest?
- Tell me about the Data Science projects you have completed.
- What is your experience with Machine Learning in R?
Cyient
Data Scientist
Mid Easy Positive experience Accept offer 1 round
Interview process
Panel
Interview formats
Technical Behavioral
It was a panel interview. We started with self-introductions. Then, there were questions about modeling, followed by inquiries regarding tools and hands-on experience. They also asked general questions about career choices and ambitions. That was it.
Confirmed questions6 questions
- Tell me about data modeling.
- Can you introduce yourself?
- What are your thoughts on modeling techniques?
Cyient Data Scientist Interview Questions
Quoted word for word from Cyient interview reports.
“What are the steps for data cleaning using Python?”
Read reports →“Can you explain the difference between Classification and Regression?”
Read reports →“Can you explain the assumptions of linear regression and the consequences if they are not met?”
Read reports →“How important is data visualization and what are some popular tools for it?”
Read reports →“Could you explain the workings of Random Forest?”
Read report →“Tell me about Optical Character Recognition.”
Read report →“Could you explain support vector machines, linear regression, logistic regression, and decision trees?”
Read report →“Could you discuss PCA and clustering?”
Read report →“Are you familiar with ML evaluation metrics?”
Read report →Formats, difficulty and experience
Across all 8 Cyient interview reports.