Are you passionate about applying experimentation, causal inference, analysis, and machine learning models to make high-quality, high-impact decisions? Do you want to help local businesses grow and succeed? Yelp's Ad Market Dynamics team works on challenging, multi-disciplinary problems at scale-spanning economics, machine learning, statistics, and engineering-with the goal of creating a healthy, valued marketplace between customers and advertisers.
As an Applied Scientist at Yelp, you will help improve 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 includes:
- How should we design our ad systems with the right incentives to promote a healthy 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?
Yelp Engineering and Applied Science culture is driven by our : we're a cooperative team that values individual authenticity and encourages creative solutions to problems. We encourage autonomy and development from the outset, and your impact will only grow from there with the support of your manager, mentor, and team. Learn more about Yelp by visiting: .
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
This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada.
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