Senior Applied Scientist Remote - Canada
Senior Applied Scientist Remote - Canada
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Job Description
Summary
Are you passionate about applying experimentation causal inference analysis and machine learning models to make highquality and highimpact decisions Do you want to help local businesses grow and succeed Yelps Ad Bid Optimization team works on challenging multidisciplinary problems at scalespanning economics machine learning statistics and engineeringwith 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!
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. Wed love to have you apply even if you dont feel you meet every single requirement in this posting. At Yelp were looking for great people not just those who simply check off all the boxes.
What youll do:
- Identify and own complex problems form testable hypotheses and drive significant business impact.
- Conduct endtoend analyses from wrangling data via SQL or Python to statistical modeling to hypothesizing and presenting business ideas.
- Communicate your conclusions to technical and nontechnical 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 youve learned
What it takes to succeed:
- Background in economics/econometrics (Masters/PhD 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 realworld problems.
- Highly motivated and curiousable to combine business insight with deep understanding of tools and systems.
What youll get:
- Compensation range is $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 Yelps five star benefits here!
Closing
At Yelp we believe that diversity is an expression of all the unique characteristics that make us human: race age sexual orientation gender identity religion disability and education and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values which include Playing Well With Others and Authenticity.
Were proud to be an equal opportunity employer and consider qualified applicants without regard to race color religion sex national origin ancestry age genetic information sexual orientation gender identity marital or family status veteran status medical condition disability or any other protected status.
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability you may contact us at or.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
#LIRemote
Required Experience:
Senior IC
Employment Type
Full-Time
