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Mu Sigma Senior Data Scientist Interview Questions and Answers
Mu Sigma Senior Data Scientist Interview Experiences
1 interview found
Mahalakshmi Subramanian
I applied via Campus Placement
It was brain teasing and more of stats
Top trending discussions
Interview questions from similar companies
Anonymous
(2 Questions)
- Q1. Self introduction
- Q2. Knowledge of data handling
Interview Preparation Tips
(3 Questions)
- Q1. Why should we hire you?
- Q2. Where do you see yourself in 5 years?
- Q3. What are your strengths and weaknesses?
I applied via Referral and was interviewed before Oct 2021. There were 3 interview rounds.
Easy to intermediate level questions
(2 Questions)
- Q1. 1.Basic sql commands. 2. Basic to advance excel. 3.how was your past experience with company.
- Q2. 4.why you left the previous organization?
- Ans.
Seeking new challenges and growth opportunities.
Looking for a more challenging role to enhance my skills.
Seeking career growth and advancement.
Wanted to explore new industries and gain diverse experience.
Company restructuring led to a change in job responsibilities.
Relocated to a different city or country.
Personal reasons or family commitments.
Better work-life balance.
Unfavorable work environment or culture.
Interview Preparation Tips
Selected
I applied via Job Portal and was interviewed in Apr 2024. There were 3 interview rounds.
Critical question in maths
General topic about current situation
(1 Question)
- Q1. About ourselves and resume
Selected
I applied via LinkedIn and was interviewed before Oct 2023. There were 2 interview rounds.
A train running at the speed of 60 km/hr crosses a pole of 9 seconds. what is hte length of train?
Print all prime numbers
I applied via Company Website and was interviewed in Apr 2022. There were 2 interview rounds.
Improve your skills
Interview Preparation Tips
I appeared for an interview in Apr 2021.
Round duration - 120 Minutes
Round difficulty - Easy
After the resume shortlisting, we were given a test link which needs to be done within 24 hours after getting it.
There were questions from Aptitude , Machine Learning, Probability , Excel and SQL
Round duration - 120 Minutes
Round difficulty - Easy
(1 Question)
Round duration - 45 Minutes
Round difficulty - Medium
We were asked to explain the Tableau Dashboard in detail. Some additional questions were also asked from Tableau. ML and Deep Learning questions were also asked along with a standard gfg puzzle.
- Q1. What questions were you asked regarding Machine Learning, specifically in exploratory data analysis, the basics of deep learning, and can you describe the puzzle that was presented?
Round duration - 30 Minutes
Round difficulty - Easy
One business case study was asked.
Round duration - 20 minutes
Round difficulty - Easy
Standard HR questions were asked.
Interview Preparation Tips
Tip 1 : We need to be clear with basics of differentiation calculus and probability to get a good understanding of ML algorithms.
Tip 2 : Also, we tend to ignore statistics , but statistics should not be skipped at any cost.
Tip 3 : There should be atleast 2-3 good ML projects for which you are fully confident. You can have one project for topics like supervised learning , unsupervised learning, recommendation systems and if possible deep learning project can also be included.
Tip 4 : You should be fair enough with any one visualisation tool like Tableau, Power BI etc.
Tip 5 : Practice as much as you can from kaggle
Tip 1 : Needs to have atleast 2 ML projects.
Tip 2 : Things like Excel, SQL , and Tableau should be mentioned in the resume.
Tip 3 : Certifications for ML and Excel, SQL and Tableau will help you getting shortlisted.
Tip 4 : And last but not the least, any false thing should not be included if you are not at all aware of it.
Skills evaluated in this interview
I appeared for an interview in Apr 2021.
Round duration - 120 minutes
Round difficulty - Easy
After the resume shortlisting, we were given a test link which needs to be done within 24 hours after getting it.
There were questions from Aptitude , Machine Learning, Probability , Excel and SQL
(1 Question)
Round duration - 45 Minutes
Round difficulty - Medium
We were asked to explain the Tableau Dashboard in detail. Some additional questions were also asked from Tableau. ML and Deep Learning questions were also asked along with a standard gfg puzzle.
- Q1. What questions were you asked regarding Machine Learning, specifically in exploratory data analysis, the basics of deep learning, and can you describe the puzzle that was presented?
Round duration - 30 Minutes
Round difficulty - Easy
One business case study was asked.
Round duration - 20 minutes
Round difficulty - Easy
Standard HR questions were asked.
Interview Preparation Tips
Tip 1 : We need to be clear with basics of differentiation calculus and probability to get a good understanding of ML algorithms.
Tip 2 : Also, we tend to ignore statistics , but statistics should not be skipped at any cost.
Tip 3 : There should be atleast 2-3 good ML projects for which you are fully confident. You can have one project for topics like supervised learning , unsupervised learning, recommendation systems and if possible deep learning project can also be included.
Tip 4 : You should be fair enough with any one visualisation tool like Tableau, Power BI etc.
Tip 5 : Practice as much as you can from kaggle
Tip 1 : Needs to have atleast 2 ML projects.
Tip 2 : Things like Excel, SQL , and Tableau should be mentioned in the resume.
Tip 3 : Certifications for ML and Excel, SQL and Tableau will help you getting shortlisted.
Tip 4 : And last but not the least, any false thing should not be included if you are not at all aware of it.
Skills evaluated in this interview
Number of questions were asked over given dataset
(1 Question)
- Q1. Discussion over the earlier projects, some python and SQL questions.
(1 Question)
- Q1. Managerial round , discussion over data analytics and real world data analysis problems
(1 Question)
- Q1. About background ,yourself,why changing job,family and salary negotiations
Interview Preparation Tips
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Mu Sigma Senior Data Scientist Interview Process
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