Amazon Senior Applied Scientist Streaming Ads Amazon 

United States, New York, New York 

321962327

Key job responsibilities
* Design, prototype and test many possible hypotheses in a high-ambiguity environment, perform hands-on analysis and modeling of enormous data sets to develop insights that improve viewers experiences
* Perform performance analysis across different TV creative types, supply opportunities, and provide recommendations
* Collaborate with Generative AI teams to assess different models and measure outcome.
* Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
* Promote the culture of experimentation and applied science at AmazonA day in the life

- 6+ years of building machine learning models for business application experience
- PhD, or Master's degree and 4+ 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.