Data Interview Questions

133,160 data interview questions shared by candidates

SQL - I was given 4 tables Sales, Product, Promotion and something else (Never had to use it). 1. Which product had the highest sales with promotions and sales ( basically a where clause on 2 flags) 2. What % of sales happened on the first and last day of promotion. I don't remember the rest.. I'd say your ability to translate regular english statements into SQL is tested very well
avatar

Data Engineer

Interviewed at Meta

3.5
Apr 3, 2020

SQL - I was given 4 tables Sales, Product, Promotion and something else (Never had to use it). 1. Which product had the highest sales with promotions and sales ( basically a where clause on 2 flags) 2. What % of sales happened on the first and last day of promotion. I don't remember the rest.. I'd say your ability to translate regular english statements into SQL is tested very well

We have two types of reviewers: careful reviewer (80% of reviewers) and lazy reviewers (20% of reviewers). Careful reviewers rate a post positive 60% of time and negative 40% of time). Lazy reviewers however rate a post positive 100% of time. A) what is the probability that a random ad is reviewed positively? B) If an ad gets a negative review, what is the probability that it's reviewed by a lazy reviewer? C) If 3 ads are reviewed positively in a row, what is the probability that they are reviewed by a lazy reviewer? D) Some as above with n positively reviewed ads in a row. What happens when n goes to infinity? E) If we have very few labeled data, how can we build a model to distinguish between careful and lazy reviewers?
avatar

Data Scientist, Analytics

Interviewed at Meta

3.5
Mar 6, 2019

We have two types of reviewers: careful reviewer (80% of reviewers) and lazy reviewers (20% of reviewers). Careful reviewers rate a post positive 60% of time and negative 40% of time). Lazy reviewers however rate a post positive 100% of time. A) what is the probability that a random ad is reviewed positively? B) If an ad gets a negative review, what is the probability that it's reviewed by a lazy reviewer? C) If 3 ads are reviewed positively in a row, what is the probability that they are reviewed by a lazy reviewer? D) Some as above with n positively reviewed ads in a row. What happens when n goes to infinity? E) If we have very few labeled data, how can we build a model to distinguish between careful and lazy reviewers?

Viewing 801 - 810 interview questions

Glassdoor has 133,160 interview questions and reports from Data interviews. Prepare for your interview. Get hired. Love your job.