Lead Data Scientist

Description

Interview questions for Lead Data Scientist

Interview Questions (7)

Q1What are the steps you follow to know if you should include categorical variables in a model when modeling a relationship between two continuous variables?
Technical
Q2Have you used Marketing Mix Modeling in the past? Did you use frequentist or Bayesian models? Can you talk about the feature selection process and the main challenges you faced with the data?
Technical
Q3Can you give me suggestions on how to model the effect of growth on one or more variables when you have a dataset with many variables? What considerations should we have before tackling the problem?
Situational
Q4How do you evaluate if your k-means clustering is a good representation of the data?
Technical
Q5How do you deal with a client if the dataset you have is not good enough for the question asked and if it's impossible to obtain another one?
Behavioral
Q6How do you decide if you should impute the data or just drop the rows? How do you decide which method to use?
Technical
Q7Have you ever worked with causal inference? What is the fundamental problem of causal inference?
Technical