Amazon Sr Applied Scientist Predictive Targeting 

United States, Washington, Seattle 

129736282

This role requires an individual with strong quantitative modeling skills and experience using statistical methods. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment.You will be expected to:
- Leverage knowledge of statistics and optimization to frame decision-making problems for determining marketing spends across channels.- Use analytical and predictive techniques to build models for optimizing targeting.
- Present proposals and results in a clear manner backed by data and coupled with actionable conclusions.

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

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