Comment from myself: Airbnb deserves attention among HR pros for their efforts in democratizing data science within their organisation. Airbnb makes taking data-informed decisions the norm and even sustainable in the long term by allowing access to data, data tools and user knowledge. Every employee should be empowered to make data-informed decisions.
How Airbnb Democratizes Data Science With Data University
By Jeff Feng, Erin Coffman & Elena Grewal
Introduction
Data is essential to us at Airbnb. We characterize data as the voice of our users at scale. Thus, data science plays the role of an interpreter — we use data and statistics to understand our users and translate it to a voice that people or machines can understand. We leverage these quantitative insights, paired together with qualitative insights (e.g. in-person user research) to make the best possible decisions for both the business and our community of hosts and guests.
To that, we have built a world-class Data Science Team that has scaled to nearly 100 people strong working on everything from experimentation to data analysis & visualization to modeling & machine learning. We also built a stable, reliable and scalable data infrastructure to serve as the foundation for our data, as well as a powerful suite of data tools to empower data scientists and knowledge workers all across Airbnb.
Scaling & Democratizing Data Science
Another one of our fundamental beliefs is that every employee should be empowered to make data informed decisions. This applies to all parts of Airbnb’s organization — from deciding whether to launch a new product feature to analyzing how to provide the best possible employee experience. Our Data Science team firmly believes that part of our goal is to empower the company to understand and work with data. In order to inform every decision with data, it wouldn’t be possible to have a data scientist in every room — we needed to scale our skillset.
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