Mu Sigma Interview Questions

Overall a chilled-out interview. The interviewer wanted to know more about me and how I approach problems. Case study and thought process check. I got the offer at the end of the interview

It consists of 3 rounds.1st round had general aptitute and basic technical questions.2nd round will be video based round in which you will tested your capability to handle situations and make decisions.

Challenging and good, took about one hour, very friendly recruiters, the process took in one day consisting of Aptitude Test, GD, PI, and Psychometric tests. Results were declared on the same day, I totally enjoyed the process .

There was a written quant round which had some simple maths questions. Then the second round had a one-on-one interview where they asked basic statistics and economics questions as well some inter-personal questions

Can you handle pressure and tight deadlines?Tell me about yourself: Here, you can focus a little bit on your family background, your educational qualification, then move onto your career growth. When you are talking about yourself, try to give details that will make the interviewer feel that you are suitable for the job. Why do you think you will fit the job? Here you can explain about your talent, skills, your past experiences and how you can bring freshness to the role. Also, try to speak about your strengths and cite examples on how you can add value to the team. How do you think you can handle a certain situation? As you go through the job description, you will get an idea as to what the role is all about. Now imagine certain situations that may arise and ho

2 rounds, asked about complex SQL, RDDs, dataframes, project related interview questions, had a paper test with objectives, was being interviewed data engineer but expectations were for architect level knowledge. Also asked questions on Kafka, Spark ecosystem, etc.

I had four rounds of interviews in total. I was asked all generic questions - about my past work experience and myself. No technical questions on data analytics or statistics.

It was a technical interview followed by a HR interview. They asked some questions about graduation subjects also. There was a movie based essay writing task and a algorithm writing test

As it is data science firm, no need to worry about much technical(coding).with good communication and analytical skills can crack the interview. The questions mainly based on math puzzles and general analytical situations.Mostly data base questions need to answer.

It's been a nice process. Initially I had a aptitude test followed by a video synthesis round. Finally had a face to face interview with HR for around 30 mins