Senior Applied Scientist, Amazon Leo Data Science Platform

Amazon Leo is Amazons low Earth orbit satellite network. Our mission is to deliver fast reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools hospitals businesses and government agencies Amazon Leo will serve people and organizations operating in locations without reliable connectivity.

The Role
As a Senior Applied Scientist in Project Leo youll be leading us in making critical and time sensitive decisions that impact customers. Youll use your machine learning expertise to build solutions that can scale and solve the business problem and your engineering experience to build systems that take those solutions to production; its an exciting opportunity to apply data science to help improve fraud detection accuracy inference and customer experience monitoring activity. Its fast paced data driven and impactful.

Export Control Requirement: Due to applicable export control laws and regulations candidates must be a U.S. citizen or national U.S. permanent resident (i.e. current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum.

Key job responsibilities
The position requires hands-on expertise in Analytics to identify and isolate issues Statistical Modeling and traditional Machine Learning the ability to write queries to aid in data extraction and the ability to productionalize models. This role is a self sufficient scientist that can source data build and evaluate models and ultimately take those models and rules to deployment. You should have excellent communication skills and be able to work with stakeholders at all levels. Above all you should be a passionate hard-working and creative person who loves creating business impact loves solving difficult problems and doesnt mind getting involved in the details.

A day in the life
As part of the Amazon Leo Data Science Platform team you will collaborate with a diverse group of internal stakeholders including fraud operations Engineering teams and the Data Platform to identify and address fraud vulnerabilities. You will have the opportunity to develop rules and ML models to prevent Customer Terminal (CT) usage fraud and abuse. Your role will also allow you to leverage your customer-obsession skills by thoughtfully considering the user experience and ensuring it is not adversely affected by the mechanisms you design. If you are passionate about working with large-scale data we offer ample opportunities to do so.

About the team
The Amazon Leo Data Science Platform team builds services to ingest transform and aggregate data from various devices in Leo Network and auto detect diagnose and resolve issues. We use ML technology to monitor customer experience and prevent fraud and abuse.

- 3 years of building machine learning models for business application experience
- PhD or Masters 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers 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 and parental leave. Learn more about our benefits at WA Redmond - 167100.00 - 226100.00 USD annually