Lillian Carrasquillo | Using Human-Centric Data Science at Spotify
Lillian Carrasquillo | Using Human-Centric Data Science at Spotify

Lillian Carrasquillo | Using Human-Centric Data Science at Spotify

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<p>A data scientist by training, Lillian brings a passion for human-centric machine learning and algorithmic effects to her role leading Spotify’s Personalized Home team. She also talks about the experience of leading her team from home during the pandemic.</p><p>Lillian’s team of data scientists and user researchers collaborate with a mixed-methods research approach to try to discern user needs and create the best matches between listeners and creators. They observe and analyze user behaviors to develop product insights. Her team’s user researchers develop qualitative insights about user needs and then work with the data scientists to figure out the scale of this need or behavior. “What are users telling us they actually need in that moment by doing certain actions, by looking and exploring at certain recommended items?” </p><p>She sees that Spotify can have a big impact on inspiring new experiences between listeners and the creators of music and podcasts. By sharing music and podcast stories with the world, Spotify often making a match between a listener and a creator for the first time. It could be the first time someone tried a podcast. “These aren't just pixels and files that you're moving around, you're really creating creative experiences for people, and you're sharing somebody's creative output with people. There's a cultural consequence to the things that we do.” </p><p>Spotify’s recommendation systems work partly by design and part of it is random. She says it’s the most exciting area of research for her right now because it's stretching the limits of what a recommendation system can do. She explains that the kinds of recommendations you get from friends are contextualized and teaching a computer to do that is very difficult. It's even harder to measure if you're doing a good job, because you have to understand how to interpret the reactions that people are giving. </p><p>Lillian also cares deeply about being inclusive and offering opportunities for all types of people to be included in the tech convers

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