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Overview of Take Home Challenge

You’ll have 48 hours to work on your analysis of the challenge. Please read carefully of the

instructions and understand the audience of the presentation. Your work will be graded

according to the following key points.

General Advice

● Analysis

Clear metric definitions and analytical approach is highly valued in this challenge. Uses

statistics appropriately and dentifie limitations of the work.

● Business intuition

Identify opportunities in the market and propose reasonable solutions. Opportunity

Sizing and high-level thinking are pretty important. We hope the see sensible approach

and reasonable order of magnitude.

● Communication

Writes clearly and concisely. Visualization effectiveness is essential for Data Scientist.

● Data foundation

The foundation is data, including data loading, summary, cleaning and your coding.

Notes

● Format

○ You are free to use whatever tools you are most comfortable with to work through

the analysis.

○ Please save and attach your project in its entirety in one document, including

any slides. If you have any code that you produce, please include the code file

and zip all files in one folder.

○ Please do NOT include your name or email address in your submission.

● Confidential: Please don’t share or publish the data.

TAKE-HOME CHALLENGE: Data Science - Analytics

Airbnb is a two sided marketplace which matches guests to hosts. The booking flow at Airbnb is

as follows: a guest finds an available room (listing) that they like, and then they contact the host.

Once the guest finds a listing they are interested in, there are three ways to send the host an

inquiry: ‘contact_me’, ‘book_it’, or ‘instant_book’ (detailed at the bottom of this document). Upon

receiving the inquiry, the host can then decide whether or not to accept the request (for

‘contact_me’ and ‘book_it’ methods -- `instant_book` is auto-accepted). One of our goals at

Airbnb is to increase bookings on our platform.