Senior Applied Scientist (Remote - Canada)

Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment. Are you passionate about applying experimentation, causal inference, analysis, and machine learning models to make high-quality and high-impact decisions? Do you want to help local businesses grow and succeed? Yelp's Ad Bid Optimization team works on challenging, multi-disciplinary problems at scale—spanning economics, machine learning, statistics, and engineering—with the goal of creating a valued marketplace between customers and advertisers. As an Applied Scientist at Yelp, you will contribute to our marketplace for customers and advertisers by applying your knowledge of experimental and observational analysis alongside modeling and mechanism design. The range of problems you may take on here at Yelp include: How should we design our ad systems with the right incentives to promote a valued marketplace? How should we improve our dynamic auction system for advertisers? What causal mechanisms underpin our advertising systems? How can we best design an experiment to measure complex network effects? If this all sounds exciting to you, come join our team!

Yelp, Inc is hiring for Full Time Senior Applied Scientist (Remote - Canada) - Toronto, ON, Canada, a senior-level AI/ML/Data Science role offering benefits such as career development, equity / stock options, salary bonus.