Summary

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?

What you'll do:

• Identify and own complex problems, form testable hypotheses and drive significant business impact.
• Conduct end-to-end analyses, from wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
• Communicate your conclusions to technical and non-technical audiences alike.
• Develop and deploy ML models into production and continuously improve their performance.
• Keep the team and our projects current on new developments in experimentation and modeling.
• Mentor Applied Scientists and share the skills you’ve learned

What it takes to succeed:

• Background in economics/econometrics (Masters/Ph D or equivalent practical experience).
• Several years of working experience.
• Understanding of marketplaces and incentive design when solving business problems.
• Experience with data analysis/modeling/statistical tools (e.g. Python/R/SQL).
• Ability to apply economic and econometric analysis to real-world problems.
• Highly motivated and curious—able to combine business insight with deep understanding of tools and systems.

What you'll get:

• Compensation range is $101,000-247,000 annually. Depending on your role and level, you may also be offered a bonus, restricted stock units, and benefits.
• This opportunity has the option to be fully remote in all locations across Canada.
• You can find more information about Yelp's five star benefits here!

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