Amazon Applied Scientist III Sponsored TV @ Amazon ads 

United States, California, Palo Alto 

373883756

Key job responsibilities
Translating business questions and concerns into specific analytical questions that can be answered with available data using statistical and machine learning methods; working with engineers to produce the required data when it is not availablePresenting critical data in a format that is immediately useful to answer questions about the inputs and outputs of Forecasting systems and improving their performanceImproving upon existing statistical or machine learning methodologies by developing new data sources, testing model enhancements, running computational experiments, and fine-tuning model parameters for improving ad performance such as new ad sourcing models or ad optimization modelSupporting decisions by providing requirements to develop analytic capabilities, platforms, pipelines and metrics then using them to analyze trends and find root causes of ad performance issuesFormalizing assumptions about how forecasts are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for themUtilizing code (Python, R, Scala, SQL etc.) for w2 data and building statistical and machine learning models and algorithms

- 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.