Principal Research Scientist, Amazon Ads, Ads Science Analysis & Tech (ASAT)

New York City, NY (On-site)

$208K/yr – $282K/yrSenior Level10+ years expFull time

Posted 2 months ago

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Job Summary

DSP auctions analytics and KPI discipline drive advertiser performance and inform engineering roadmaps, with cross-functional collaboration to log data and validate financial models.

  • Growth/Measurement: Standardize KPIs across ad serving and deliver trend-based insights to inform roadmaps.
  • Collaboration: Partner with engineering to set data logging priorities and validate financial and revenue analytics decks.
  • Modeling: Analyze bid spreads and auction depth to simulate changes and defend optimization strategies.

Job Description

Responsibilities
  • Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals.
  • Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps.
  • Formalize our analytics approach to the DSP auctions by analyzing bid spreads, auction depth, and simulating impacts of potential auction structure changes.
  • Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities.
  • Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps.
  • Validate financial models through analysis.
  • Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives.
Requirements
  • 10+ years of tech industry or equivalent experience.
  • Experience working effectively with science, data processing, and software engineering teams.
  • Bachelor's degree.
  • Deep experience in advertising technology including how AI is helping to define the future of AdTech.
Preferred
  • Through experience a demonstrated ability to do advanced modeling and experimentation.
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Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience

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