About the job
Are you passionate about developing new state-of-the-art measurement approaches at Petabyte scale? Amazon Advertising is one of Amazon’s fastest growing businesses, and we are leveraging our unique data, the latest machine learning methods and big data technologies to better understand how Amazon’s marketing influences customer behavior. We are looking for a Senior Applied Scientist to develop new systems and methods in the most challenging and data rich areas of marketing. We need an expert in experimental statistics, machine learning or causal inference to design advanced new models with our world class data systems.
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.
Qualifications
Minimum
- 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
- 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