#DeployingModels #SpotifyRecommendationSystem #DataScienceInterview @JonKrohnLearns speaks with Erik Bernhardsson, the man who invented Spotify’s original music recommendation system. They address the different ways to interview a data science candidate, how to deploy a data model into the cloud, and the approach he took that made Spotify go from digital music startup to AI-driven streaming giant. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform, by Zencastr (http://zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (https://superdatascience.com/bunch), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit https://www.jonkrohn.com/podcast for sponsorship information. In this episode you will learn: • The data problem that Erik’s company Modal Labs solves [02:39] • Erik’s prolific blogging career [07:22] • Opportunities for making data teams more efficient and productive [12:49] • Erik’s views on interviewing data scientists and software developers [18:24] • Erik’s tips and tricks for data science interviewees [29:41] • How Erik built Spotify’s original music recommendation system [37:04] • Applying vectors to other tools, and opportunities for working with vectors [45:51] • Using Annoy to search across vectors [49:03] • Building Python module Luigi for Spotify [53:26] • The tools that Erik loves to work with [1:04:29] Additional materials: https://www.superdatascience.com/619