Sr. Applied Scientist, Predictive Targeting

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

Applied Scientist role focused on developing and deploying machine learning models to optimize marketing initiatives and predict customer behavior for Amazon's consumer business. Requires strong quantitative modeling, statistical methods, and experience with deep learning.

What you'd actually do

  1. Leverage knowledge of statistics and optimization to frame decision-making problems for determining marketing spends across channels.
  2. Predict future customer behavior and business conditions through machine learning and predictive modeling.
  3. Use analytical and predictive techniques to build models for optimizing targeting.
  4. Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.

Skills

Required

  • building machine learning models for business application
  • PhD, or Master's degree and 6+ years of applied research experience
  • programming in Java, C++, Python or related language
  • neural deep learning methods
  • machine learning

Nice to have

  • modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • large scale distributed systems such as Hadoop, Spark etc.

What the JD emphasized

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience

Other signals

  • Develop models for optimizing the performance of Amazon’s marketing initiatives
  • Apply modern machine learning methods to answer key business questions
  • Build models for optimizing targeting
  • Predict future customer behavior and business conditions through machine learning and predictive modeling