Are you intrigued by data? 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 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, trust & safety / spam detection, & causal inference.
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.
Sound exciting? Keep reading.
We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.
This opportunity is fully remote & does not require you to be located in any particular region. We welcome applicants from throughout Canada.