Applied Scientist , PAE

Every time a customer checks out a split-second decision determines which payment method appears in what ranking whether there is payment failure risk and how frictionless the experience feels. That decision touches 300MM customers and 2B monthly transactions and youll be the scientist building the intelligence behind it.

Are you excited by the challenge of applying machine learning GenAI and real-time personalization to one of the highest-volume lowest-latency decision systems at Amazon Do you want to build models that directly move billions in revenue predicting payment risk before it happens recommending the right payment method at the right moment and eliminating friction that customers shouldnt have to think about

Join Payment Acceptance & Experience (PAE) Data Science where youll build the ML systems that power Amazons Payment Experience Intelligence. Youll take models from conception to production alongside scientists engineers and product managers shipping at a scale few teams in the industry can match.

Key job responsibilities
-Build and ship ML systems at scale design develop evaluate deploy and monitor ML models that personalize payment experiences for 300MM customers across 2B monthly transactions.
-Solve global problems once develop worldwide models that scale across business lines and locales with minimal adaptation and continuously improve model performance and ML architecture.
-Own the full lifecycle contribute production-grade code and science tooling from experimentation framework to deployed inference.
-Measure real impact design A/B experiments conduct rigorous statistical analysis and translate results into product and business decisions.
-Ship with engineering and product partners collaborate with SDEs to take models from prototype to production and with business stakeholders to drive alignment on science-informed strategy.
-Advance the science present and publish research internally and externally contributing to Amazons science community and raising the bar for the

About the team
Payment Acceptance and Experiences (PAE) mission is to**build the most trusted intuitive and accessible payment experience on earth**. The team provides new and existing customers anywhere in the world the ability to pay on- and off-Amazon with world-class ease of use payment method variety and security. The PAE Data Science team builds AI-native intelligence systems that improve payment experience optimize marketing efficiency automate operational workflows and enable faster business decision-making across the payments ecosystem. It serves as a high-leverage strategic engine advancing PAEs mission.

- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
- Currently has or is in the process of obtaining a Masters degree or above in Engineering Computer Science Machine Learning Operations Research Statistics or related fields

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
- Currently has or is in the process of obtaining a PhD in Engineering Computer Science Machine Learning Operations Research Statistics or related fields
- Experience building machine learning models or developing algorithms for business application

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 VA Arlington - 136000.00 - 184000.00 USD annually
USA WA Seattle - 136000.00 - 184000.00 USD annually