Applied Scientist , PAE
Amazon.com Services LLC•3h ago
United StatesOnsite$136K–$184KFull-timeEntry Level0-1 yrs exp
H-1B verified · 2310 LCAs
Top focus
Applied ScientistData Scientist
- 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 you'll be the scientist building the intelligence behind it. Are you excited by the challenge of applying machine learning, GenAI
- 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
- eliminating friction that customers shouldn't have to think about? Join Payment Acceptance & Experience (PAE) Data Science
- you'll build the ML systems that power Amazon's Payment Experience Intelligence. You'll take models from conception to production alongside scientists, engineers
- 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
- 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
- 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
- translate results into product and business decisions. -Ship with engineering and product partners — collaborate with SDEs to take models from prototype to production
- with business stakeholders to drive alignment on science-informed strategy. -Advance the science — present and publish research internally and externally, contributing to Amazon's science community and raising the bar for the field.ommunity About the team Payment Acceptance and Experience's (PAE) mission is to **build the most trusted, intuitive
- 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
- security. The PAE Data Science team builds AI-native intelligence systems that improve payment experience, optimize marketing efficiency, automate operational workflows
- enable faster business decision-making across the payments ecosystem. It serves as a high-leverage, strategic engine advancing PAE's mission.
- Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Currently has
- is in the process of obtaining, a Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics
- Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals - Currently has
- is in the process of obtaining, a PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics
- 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
- 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 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. 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
- 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
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
Required skills
PythonJavaC++SQLMachine LearningStatisticsOperations Research