Sr Applied Scientist, Digital Ads , Amazon Digital Advertising

Key job responsibilities

• Scientists at Amazon are expected to develop new techniques to process large data sets and contribute to design of automated systems.
• Apply ML, statistics or econometrics knowledge to develop and analyze prototype models.
• Design and analyze data from large-scale online experiments in order to validate prototype models
• Collaborate with scientists across teams in peer-review processes, publishing research in internal forms and industry conferences
• Partner closely with product and engineering teams to develop new measurement systems and translate prototype models to production.
• Establish scalable, efficient, and automated processes for large scale model development, validation, and implementation.
• Research and experiment with novel statistical modeling approaches.

Basic Qualifications

• 4+ 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

Preferred Qualifications

• 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.
• Knowledge of causal inference