Yelp has hundreds of millions of pieces of user-contributed content, millions of users & business listings, & hundreds of thousands of advertising customers - & all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, & figuring out different interactions is hard work, but these insights are hugely impactful to Yelp's business. Applied data scientists uncover these insights through exploratory research & analysis, & carry the ideas all the way through to production-grade statistical or predictive models. They work in areas including pricing models & auction bidding strategies, learning to rank applications, personalized recommender systems, & causal inference.
This position is hiring into our Customer & Sales Intelligence team in London, which focuses on optimizing business-facing areas such as customer acquisition & retention, lifetime value estimation, & dynamic pricing.
Yelp engineering culture is driven by our values: we're a cooperative team that encourages individual authenticity & unboring solutions to problems. We enable all new team members to deploy working code their first week, & your impact will only grow from there with the support of your manager, mentor, & team. At the end of the day, we're all about helping our users, growing as engineers & scientists, & having fun in a collaborative environment.