<http://schema.org/description>
"...Are you interested in working at the intersection of growth hacking, applied machine learning, engineering, and advanced data analysis? Do you have an interest in developing and applying quantitative scalable solutions related to Uber\u2019s growth problems? If so, then this is the job for you.\n\nMachine Learning Data Scientists on the Global Intelligence team work closely with product, engineers, marketing and operation teams to tackle major growth problems such as driver/rider preference, engagement..."^^<http://www.w3.org/2001/XMLSchema#string>
<https://tapwage.com/company/livestream/growth-hacking/jobs>