Amazon Applied Scientist III Amazon SP - Off-Search Sourcing Relevance 

Canada, Ontario, Old Toronto 

132655365

Key job responsibilities
• Lead business, science and engineering strategy and roadmap for Sponsored Products Off-Search Sourcing and Relevance.
• Drive alignment across organizations for science, engineering, and product strategy to achieve business goals.
• Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers
• Develop state of the art experimental approaches and ML models.Toronto, ON, CAN

- 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.