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.

Requirements

• 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

Benefits

• Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
• comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off