The interview process takes 2-4 weeks on average.

• Stage 1: Initial phone screen by HR.
  
• Stage 2: A technical phone interview.
  The interview usually involves a link to a Google Doc where the candidate is expected to solve a coding problem.
  
• Stage 3: Occasionally a take home project can be assigned between the technical phone screen and the onsite, but not always.
  
• Stage 4: An onsite interview.
  The onsite usually includes 4 separate interviews with questions about stats, coding, and data analysis

• Q 1: Explain a probability distribution that is not normal.
• Q 2: If two predictors are highly correlated, what is the effect on the coefficients in the logistic regression? What are the confidence intervals of the coefficients?
• Q 3: K- mean and Gaussian mixture model: what is the difference between K-mean and EM?
• Q 4: When using Gaussian mixture model, how do you know it is applicable?
• Q 5: If the labels are known in the clustering project, how do you evaluate the performance of the model?
• Q 6: You have a google app and you make a change. How do you test if a metric has increased or not?
• Q 7: Derive the Gaussian discrimination method under three different cases. Robust linear regression. Bayesian probability calculation. Random Markov Field. RNN.
• Q 8: Coding in R, multiply all a[i,j] in a i rows j columns dataset.
• Q 9: How can you tell if a given coin is biased?
• Q 10: Make an unfair coin fair
• Q 11: Find the width of the confidence interval

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