The interview process for a data scientist at Zillow takes around 2 weeks on average.**Stage 1:** Phone screen with HR**Stage 2:** Online data assessment**Stage 3:** Technical phone screen with the team director/lead**Stage 4:** Onsite interview.

• Q 1: Code a Fibonacci series.
• Q 2: Explain a KNN classifier
• Q 3: What is euclidean distance?
• Q 4: How would one predict the sale price for a certain item? How will it be different for rural and urban areas?
• Q 5: What are some techniques to remove outliers? How can you detect anomalies in the data?
• Q 6: What modeling technique would you use to superimpose the nearest house prices on the missing data of house price?
• Q 7: Build a predictive model
• Q 8: Explain the concept of overfitting and explain what steps we could take to reduce overfitting.
• Q 9: Describe an example of how you created a working predictive model. Be detailed.
• Q 10: How would you improve our current model?
• Q 11: Explain how your code is efficient in terms of processing speed
• Q 12: Explain why SVM is needed to maximize the margin between support vectors.

Our mission is to build the largest, most trusted and vibrant home-related marketplace in the world, and we remind ourselves of this almost daily. Our mission drives us to stay motivated and work together to accomplish great things.