
Happiest Minds Technologies Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 26 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Happiest Minds Technologies.
Data Scientist
HR doesn't usually respond quickly. They also schedule interviews really last minute without telling me beforehand, which causes confusion and is inconvenient because candidates aren't informed.
- Tell me about your experience with Exploratory Data Analysis (EDA).
- What machine learning models are you familiar with?
- Can you provide a brief overview of a project you've worked on?
Data Scientist
The TA reached out, and there were 4 rounds in total. R1 was a Python coding round, R2 was an in-depth technical discussion covering ML and DL, R3 focused on projects and technical skills, and R4 was with HR. However, the HR round was rescheduled multiple times by them. It was going well until the HR round. My advice: don't accept less than market standard pay; be clear about your expectations and career goals.
- Python coding round focusing on arrays and strings.
- In-depth technical discussion on Machine Learning and Deep Learning.
- Discussion about your projects and technical skills.
Data Scientist
I wanted to thank you for the interview opportunity at happiest Minds. I appreciated you taking the time to chat and tell me more about the company and the role. The interview was insightful and I was impressed by your industry knowledge, the company culture, and the projects the team is working on. It was also great discussing my experience and how it might fit this role.
- Can you explain what a Python module is and how it differs from libraries?
- What are some key features of Python?
Happiest Minds Technologies Data Scientist Interview Questions
Quoted word for word from Happiest Minds Technologies interview reports.
“Implement a function to determine if a given string reads the same forwards and backward.”
Read reports →“What is the difference between bias and variance?”
Read reports →“Create a program that sums up all the numbers in an array.”
Read reports →“What are the assumptions of Linear Regression?”
Read reports →“What's the underlying concept for Conv nets?”
Read report →“Can you explain what a Python module is and how it differs from libraries?”
Read report →“What are some key features of Python?”
Read report →“How do you choose K in K-means?”
Read report →“Could you describe the mathematical intuition of decision tree algorithms?”
Read report →Formats, difficulty and experience
Across all 26 Happiest Minds Technologies interview reports.