Welcome to your interview for the Data Scientist role at eClerx.
The question is on your right: Customer Churn Prediction Modeling. Take a moment with it first.
Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen. You have three graded attempts to score 7/10 or better.
You are asked to build a churn prediction model for a retail and ecommerce business with repeat purchasing across web, mobile app, and live shopping channels. The goal is to identify customers who are likely to stop buying soon enough for the CRM team to act through retention campaigns in QVC's marketing surfaces.
How would you approach predictive modeling for customer churn?