Distributional Fitting and Tail Analysis of Lead-Time Compositions: Nights vs. Revenue on Airbnb
We analyze daily lead-time distributions for two Airbnb demand metrics, Nights Booked (volume) and Gross Booking Value (revenue), treating each day's allocation across 0-365 days as a compositional ve...
I spend a lot of my time at work thinking about lead times and one of the more interesting patterns is how differently bookings, trip length, & price behave as you move from far-out reservations to last-minute stays. New paper is really just structured curiosity about this:
arxiv.org/abs/2601.12175
21.01.2026 16:50 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Staff Data Scientist, Forecasting-Finance - Careers at Airbnb
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco โฆ
Staff DS role open on my team at Airbnb. Revenue forecasting systems: model selection, pipelines, automation. Work that actually gets used and scrutinized. Good mix of research and applications! #airbnb
careers.airbnb.com/positions/75...
21.01.2026 00:20 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Same experience with #Ox. Had to install it to dig into a related paper's code and felt like software archaeology.
19.01.2026 15:42 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Is Claude Code useful? Yes. Did it remove code instead of testing it when I prompted to write tests to increase coverage? Also yes
17.01.2026 21:48 โ ๐ 53 ๐ 5 ๐ฌ 3 ๐ 0
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