1. Fitment round : Tell me about one of your best projects? What are the machine learning/Deep learning algorithms you have used in this project? What are the Hyperparameters used in this model? 2. Data Science Round What is the difference between Gradient Descent, Stochastic Gradient Descent & mini-batch Gradient Descent? What is Adam's optimizer? How max pooling is different from average pooling? How LSTM is better than RNN? What is the loss function used in logistic regression? 3. Coding Round Code for P-Value given the coin toss scenrios.
Sr Data Scientist Interview Questions
3,380 sr data scientist interview questions shared by candidates
Describe the process of implementing a machine learning model in Python
SQL timed exam
Data challenge was a project to build a statistical model to identify drivers of bookings on Airbnb. Data file was messy, and very realistic. Problems were very unstructured, and I used a lot of my own theory and style to craft a solution and make business recommendations based on my work. Also asked about designing an A/B test to get more clarity on the issues if more than observational data were made available. Wrote up a ~8 page memo with my results. Project took me about 2 days on a weekend.
Tell me a project you did.
-- Revenue is down 10%. What do you do to investigate?
Describe about your graduate school research project.
what are my salary expectations
What was a project that went well
Why Spotify? Walk me through your resume? Hoe big of data do you work with?
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