1. Will Uber cause city congestion?
  2. What are the metrics you will use to track if Uber’s paid advertising strategies to acquire customers work? How will you figure out the acceptable cost of customer acquisition?
  3. Explain principal components analysis with equations.
  4. Explain about the various time series forecasting technqiues.
  5. Which machine learning algorithm will you use to solve a Uber driver accepting  request?
  6. How will you compare the results of various machine learning algorithms?
  7. How to solve multi-collinearity?
  8. How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?
  9. If we added one rider to the current SF market, how would that affect the existing riders and drivers?
  10. What are the different performance metrics for evaluating Uber services?
  11. How will you decide which version (Version 1 or Version 2) of the Surge Pricing Algorithms is working better for Uber ?
  12. How will you explain JOIN function in SQL to a 10 year old ?

TOP MNC DATA SCIENCE INTERVIEW QUESTIONS