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Key job responsibilities
* Use statistical and machine learning techniques to articulate possible root cause analysis and create scalable solutions for business problems.* The Scientist will partner with technology and product leaders to solve business and technology problems.
* Research and implement novel machine learning, statistical and econometrics approaches to understand drivers, impacts, and key influences on growth dynamics.
* Helping to build production systems that take inputs from multiple models and make decisions in real time.
* Automating feedback loops for algorithms in production.
* Utilizing Amazon systems and tools to effectively work with terabytes of data.
- PhD, or Master's degree and 6+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Ability to develop prototypes by manipulating and analyzing complex, high-volume, high-dimensional data from varying sources.
- Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
- Strong verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
- 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.
- Proven track record of production achievements in language, search and personalization
- Publications in top-tiered academic conferences and journals.
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