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SoundCloud consists of hundreds of millions of tracks, people, albums, and playlists, and navigating this vast collection of music and personalities poses a large challenge, particularly with so many covers, remixes, and original works all in one place.

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Here at SoundCloud, we’ve been working on helping our Data Scientists be more effective, happy, and productive. We revamped our organizational structure, clearly defined the role of a Data Scientist and a Data Engineer, introduced working groups to solve common problems (like this), and positioned ourselves to do incredible work! Most recently, we started thinking about the work that a Data Scientist does, and how best to describe and share the process that we use to work on a business problem. Based on the experiences of our Data Scientists, we distilled a set of steps, tips and general guidance representing the best practices that we collectively know of and agree to as a community of practitioners.

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With more than 125 million tracks from over 12 million creators heard each month on our platform, SoundCloud is uniquely positioned to offer listeners a full spectrum of music discovery.

Classic hits, the latest releases, gems from underground talent and the best of what’s up-and-coming – all in one place.

How can you make great content discoverable and available at ease? How can you create a unique experience for every single user?