Applied Scientist Ii, Sponsored Products Marketplace Intelligence

Amazon

United States
142,800.00 - 193,200.00 usd annually py
**
Production ml and bandit solutions
Machine learning, causal inference, and optimization
Modeling shopper responses to ads
** Amazon Ads is seeking an Applied Scientist II for their Sponsored Products Marketplace Intelligence team, focusing on improving ad ranking and allocation through machine learning and AI technologies. The role involves solving complex advertising challenges to enhance the shopping experience while driving revenue growth. **

Job Summary

  • We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle.
  • Our mission is to personalize and contextualize SP ad allocation on the entire search page by modeling shopper responses to the number, placement, and quality of ads.
  • This is a unique opportunity for someone who wants to have broad business impact, a direct impact on customers and the search experience, and get broad exposure to a wide range of scientific techniques.

Matching Summary

Match Score: 75

** Amazon Ads is seeking an Applied Scientist II for their Sponsored Products Marketplace Intelligence team, focusing on improving ad ranking and allocation through machine learning and AI technologies. The role involves solving complex advertising challenges to enhance the shopping experience while driving revenue growth. **

Salary

142,800.00 - 193,200.00 USD annually

Skills & Requirements

Must-have

  • production ML and bandit solutions
  • machine learning, causal inference, and optimization
  • modeling shopper responses to ads
  • online experimentation and simulation
  • designing and implementing data science solutions
  • hands-on analysis of enormous data sets
  • end-to-end machine learning projects

Nice-to-have

  • responsible and intelligent AI technologies
  • customer obsession and inventing and simplifying
  • product-focussed and data-driven environment
  • creative, experimentation, and product innovation

Key Requirements

  • practical experience with LLMs / GenAI for production

Work Rights

Not specified

Tailored Resume

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