Amazon Sr Applied Scientist Amazon 

United States, Washington, Seattle 

795988301

Key job responsibilities
In this role you will leverage your engineering background and expertise to help build the next generation of our mission understanding models and data collection framework. On a day-to-day basis, you will:* Interface with Applied Scientists, Product Managers, and Program Managers to determine requirements for production systems
* Analyze log data to determine future system design and configure parameters
Build scalable and production-ready data pipelines to extract features from petabytes of raw data
Integrate models and algorithms in complex, real-time production systems on immense scale
* Design and execute experiments to determine the impact of models and algorithms you intend to deploy in production
* Run analysis reports of web-experiments to identify benefits and risk of launching the models and algorithms
* Serve as a liaison to our customer/seller-facing partner teams in case of escalations
Project manage cross-functional Machine Learning initiatives

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