Data scientist interview questions shared by candidates
the last interview (final) was weird. It felt as if they were delibralatty asking irrelevant questions. 1. Assumption of k-means clustering 2. what is logit function, write down the equation. 3) Formula for anova - i mentions test statisic was SSB/SSW - but he wanted theoritical answers. This particular person is a VP in Mumbai, calls himself data scientist but feels like a college professor.
A. Technical interview: 1. The most challenging project done so far? Some cross questionings over that 2. How will you design a Recommender System? with lots of optimizations and variants 3. Supervised learning? Random Forest? 4. Knowledge of Unix? Python? R? B. HR interview: 1. Why you are a good fit? 2. Why Innoplexus? 3. Key Strengths? 4. Best achievement so far? 5. Why want to leave currently company so early?
Aptitude 1 what is the value of a in x2-ax+25 (I did not missed any =0 after 25 the question was exactly this) a 20 b 10 c -25 2 b/c=3 b/a is in lowest form find value of a (again question was exactly thisno other detail was given) a 180 b 240 c 104 According to me above questions are technically incorrect so be ready to face wrong questions in aptitude Coding Best part was that we were given choice to solve in language whatever we want 1 Maximum sub sequence problem 2 given a number find next highest number from same digits eg input 4639 output 4693 input 4693 output 4936
Puzzles: 1. there are 10 bottles containing coins of 1 gram each. Of the 10, 1 bottle contains coins of 1.1 gram. We have to find out that 1 bottle after only 1 measurement. 2.There is a cylindrical glass filled with water. We have to determine if it is EXACTLY(not approximately) half-filled or not. We can't measure the water, nor can we dip anything in water, or measure the height of glass. We have to just look (may be hold) and tell. HR questions:- 1. What would you want to be if you were a traffic sign? 2. What would you do if you had 6 months left before you die? Why would you do that?