![]() ![]() We are a distributed workforce enabling our band members to find a work mode that is best for them!.A clear communicator who builds relationships and brings others along.Familiar with approaches to search, content discovery, personalization, and globalization.Skilled researcher who can harness knowledge through a variety of methods and sources.Experience in developing taxonomy/ontology to support enterprise use cases.Have a degree in linguistics (preferred) or information science.Evangelize and drive the adoption of taxonomies.Find opportunities to consult on missions that impact business.Provide recommendations for augmenting and evolving editorial/subject matter expert tagging capabilities.Work with teams to ensure semantic structures represent specialized knowledge and points of view, and have the flexibility to cover a growing set of contexts and domains.Create a framework for harvesting new terms as well as a process for governance.Negotiate alignment with stakeholders, normalizing multiple sources of terminology. ![]() This is a key role that will collaborate with partners in Editorial, Localization, Machine Learning capabilities, and beyond. You’ll help bring coherence to terminology and metadata, supporting recommendation models by applying your expertise in language use and information structures. We’re looking for a taxonomist to join our team focused on Spotify’s subject matter experts. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We built them by understanding the world of music and podcasts better than anyone else. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. The Personalization team makes deciding what to play next easier and more enjoyable for every listener. Leveraging the power of detail in your stories.Recognizing the career path you are already on. ![]()
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