$ cat jobs/data-science-product-manager-lyst-05ec67c2d460.json
Data Science Product Manager
Lyst is a technology platform that revolutionises the way people shop for fashion. We connect millions of consumers globally with the world’s leading fashion designers and stores, giving them a simpler, more engaging and more effective shopping experience. Lyst has grown over 300% every year since launch in 2011 and has raised over $60M from top-tier investors including Accel, DFJ, Balderton and the teams behind LVMH, Michael Kors and Oscar de la Renta. We re looking for an experienced Product Manager to work with our Data Science team. They re leaders in the field of image recognition, search and recommendations and we need you to take their research and work with our commercial teams to deliver great products that people love. Our Data Science team are responsible for the fashion machine-learning architectures at Lyst. This includes researching, modelling and deploying performant production-worthy systems. Their services are the most called microservices across Lyst, allowing us to search 40 million images in < 100ms via the deep learning models we ve built. You will be helping us to expand our search and recommendations offerings by guiding the engineering teams whilst working with stakeholders on the commercial and marketing arms to ensure we build products that our users need. We need someone commercially minded, comfortable dealing with problems at a huge level of scale in the field of data science implementation who is known for their execution abilities. You ll be comfortable working autonomously on projects, with great attention to detail and ideally a good sense for design or fashion. You will be growth minded and understand the speed of decision making required in a rapidly scaling business. You will be commercially and technically minded - able to understand concepts and explain limitations between marketers and engineers! You will need to understand modern marketing technology, think analytically about user behaviour and be able to conceptualise ideas t
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