Problem statement for the interviewee:
You have just been hired as the first data scientist and are tasked with finding fraud. The company sells a boutique video subscription service. The company currently has ~2,000 customers and each customer's Annual Recurring Revenue (ARR) is ~$10,000.
How would you approach the problem from a data science perspective?
What are possible types of fraud?
How would emperical find them?