Amazon Sr Applied Scientist Pricing Promotion Optimization 

United States, Washington, Seattle 

272835393

Key job responsibilities
* Using cross-ASIN signals to optimally price bundles, ensure price rationality across products, and discovering and launch optimal promotional bundles
* invent and deliver price optimization, simulation, and competitiveness tools for 3p Sellers.
* shape and extend our bandit optimization platform - a pricing centric multi-armed bandit platform that automates the optimization of various system parameters and price inputs.
* Promotion optimization initiatives exploring CX, discount amount, and cross-product optimization opportunities.
* Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)

- 4+ years of applied research experience
- 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
- 6+ years of building machine learning models or developing algorithms for business application experience

- 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.