Sr. Applied Scientist, Amazon Customer Service

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Senior Applied Scientist role focused on building foundational models for real-time personalization and intelligent routing in Amazon Customer Service, leveraging representation learning for customer interactions.

What you'd actually do

  1. Lead the science for understanding the demand side of customer service interactions
  2. Characterize who is contacting us, what they need, and how complex their situation is
  3. Invent novel representation learning approaches that encode customer interactions
  4. Directly inform intelligent routing decisions across hundreds of millions of annual contacts

Skills

Required

  • machine learning
  • neural deep learning
  • representation learning

Nice to have

  • R
  • scikit-learn
  • Spark MLLib
  • MxNet
  • Tensorflow
  • numpy
  • scipy
  • Hadoop
  • Spark
  • Java
  • C++

What the JD emphasized

  • building machine learning models for business application experience
  • neural deep learning methods and machine learning

Other signals

  • foundational models
  • real-time personalization
  • customer service interactions
  • representation learning
  • intelligent routing