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@brianspiering
Last active May 14, 2021 22:37
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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?

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