The challenge had 3 parts: SQL, Experiment Design, and Machine Learning. In the SQL portion you had to write some queries to answer complicated real world questions (without any data given, just a schema). In the experiment design portion you are asked to create a hypothetical plan to answer testing a new app. In the Data Science portion, you are asked to perform binary classification on a given data set, and return insights from the classification.
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Hirevue questions are very basic Technical questions are data science specific Some technical questions are modeling and cs related
Build a pricing algorithm with an RMSE below a certain threshold.
They gave a hypothetical dataset from a relational database and asked how I'd analyze data from two different tables. The challenge was there was no common key between them.
In technical interviews, one point to notice is that you won't get the usual Customers/Sales exercises. It's all based on their real prod data/prod issues
How confident are you in OOPs ?
Aspectos técnicos y de características del negocio.
What is your salary range?
2 SQL questions Group by Having, lag, and lead 2 same questions in Pandas, 1 python concept, 1 stats
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