Data Scientist (Recommendations)

Lyst aims to deliver a compelling personalized online fashion experience, and we are looking for a Data Scientist to help us improve the way we use recommendations and personalization. About Lyst Lyst is a leading fashion marketplace - we partner with the world’s top fashion brands and stores to provide people with a personalised way to discover and shop for fashion online. From launch in 2011, Lyst is growing quickly and already generates tens of millions of dollars in sales for the hundreds of brands, retailers and publishers it partners with around the world. Lyst is backed by a range of all-star of investors including Accel (Facebook, Spotify), DFJ (Skype), and those behind Oscar de la Renta, Smythson and Tory Burch. Our London HQ is in the heart of Shoreditch, housed in an iconic building - formerly occupied by the White Cube Gallery - symbolising East London creativity. When we aren’t making shopping for fashion even better for our millions of customers, we have fun together with weekly yoga, poker, football, pub quizzes, etc. We care deeply about helping the tech industry become a more inclusive and diverse place and we work hard to lead by example. Key Responsibilities: Design new and improve existing recommendation algorithms. Design, run and interpret A/B tests. Track and analyze user data to improve the user experience. Design and implement the data and computation infrastructure to support our growing scale. Requirements: Experience with Python and the Python data ecosystem (numpy, scipy and so on). Experience with applying and implementing machine learning/information retrieval algorithms. Previous experience with recommender systems and personalization a plus