# Deep Dive Into Data Science at trivago

DevFeed: [Deep Dive Into Data Science at trivago](<https://devfeed.tech/articles/deep-dive-into-data-science-at-trivago-28001.md>)

Original publisher: [Read original article](<https://tech.trivago.com/post/2020-10-22-deepdiveintodatascienceattrivago/>)

Author: Andrea Fernandez Data science lead working; Puzzles; Running

Published: 2020-10-22T00:00:00Z

Content type: opinion

Language: en

Sources: [Trivago](<https://devfeed.tech/sources/trivago.md>)

Topics: [Data Science](<https://devfeed.tech/topics/data-science.md>), [data analytics](<https://devfeed.tech/topics/data-analytics.md>), [Algorithms, Complexity](<https://devfeed.tech/topics/algorithms-complexity.md>)

Tags: [algorithms](<https://devfeed.tech/tags/algorithms.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [article](<https://devfeed.tech/tags/article.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [engineering-culture](<https://devfeed.tech/tags/engineering-culture.md>), [travel](<https://devfeed.tech/tags/travel.md>)

## AI overview

A Q&A about how data science works at trivago, including challenges faced by the travel-tech company and what it is like to work in data science. Interviewees discuss their backgrounds, roles, analytics work, algorithms, product management, user profiling, ranking, and monetization.

## Source excerpt

What does Data Science at trivago look like in practice? Which major challenges have we encountered as a travel-tech company since the COVID-19 outbreak? What's it like to work in Data Scien...