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Data Interview Questions
133,855 data interview questions shared by candidates
Everything was pretty straightforward, just read some BI interviews and make sure you can talk about your professional/student experience.
They asked a lot of questions about my take-home project; in particular wanted to know about the reasons that I took the approach that I did. I could tell they were coming more from a statistical and economics background for the most part; while I'm more of an engineering and machine-learning hacker type standpoint. They also had a lot of "ambiguous" questions; by that, I mean questions about ambiguous business situations I might encounter in this position. Wanted to know how well I would do with ambiguous questions I might get from business leaders.
Tell me more about your previous experience? Did you work as data scientist? How many years of work experience you have ? About masters degree? where are you graduating from? do you need H1B in future
If you're trying to predict the gender of your customers and you only have 100 data points, what are possible problems?
There were 2 rounds of case interviews and 1 round for presentation of the Data Challenge that I passed before the 1:1 interview
What is the difference between bagging and boosting algorithms
SQL analytical queries. Python basic programming.
What would I estimate as metrics for ab test ?
Write a query that returns percentage of unsold product_category.
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