Amazon

Applied Scientist , PAE

Amazon$136K — $184K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience in programming languages such as Java, C++, or Python
  • Familiarity with SQL and relational databases like Oracle
  • Master's degree or higher in Engineering, Computer Science, Machine Learning, or related fields
  • Experience implementing algorithms using relevant toolkits and custom code
  • Publications in top-tier peer-reviewed conferences or journals
  • PhD candidates in relevant fields are preferred
  • Experience in building machine learning models for business applications

Responsibilities

  • Build and deploy machine learning systems that enhance payment experiences for over 300 million customers
  • Develop scalable worldwide models that require minimal adaptation across different locales
  • Manage the entire model lifecycle, from experimentation to deployment
  • Design and analyze A/B experiments to inform product and business strategies
  • Collaborate with software engineers and product managers to translate models into production
  • Present and publish research to elevate Amazon's standing in the scientific community
  • Continuously improve model performance and machine learning architecture

Benefits

  • Comprehensive health insurance (medical, dental, vision)
  • 401(k) matching
  • Paid time off and parental leave
  • Flexible Spending Accounts
  • Mental health support and EAP services
  • Adoption and Surrogacy reimbursement coverage
Full Job Description
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, 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 shouldn't have to think about?

Join Payment Acceptance & Experience (PAE) Data Science, where you'll build the ML systems that power Amazon's Payment Experience Intelligence. You'll 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 Amazon's science community and raising the bar for the field.ommunity

BASIC QUALIFICATIONS

- 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 Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields

PREFERRED QUALIFICATIONS

- 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

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 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

About Amazon

Audible is a provider of spoken audio information and entertainment , on the Internet. They provide premium spoken audio content, such as audio versions of books and newspapers and radio programs, that is delivered over the Internet and played back on personal computers and hand-held electronic devices. The Audible service allows consumers to purchase and download their content from their Website, store it in digital files and play it back on personal computers and electronic devices. More than 15,000 hours of audio content are available on their Web site, including audio versions of books, periodicals and radio programs. Several manufacturers have agreed to support and promote the playback of their content on their hand-held audio-enabled electronic devices.

Amazon Careers

Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests. Work You’ll Do At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you. Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally. Lead with Innovation and Leadership Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards. Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation. Explore Amazon’s Employment Benefits Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security. Internship and Networking Opportunities Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company. Future-Proof Your Career With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends. Stay Connected Join Our Team Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Amazon. Amazon is more than just a company—it’s a platform for building a promising future. Whether you’re starting or looking to advance your career, Amazon offers the resources, support, and network you need to succeed. Join us, and be a part of our continuing mission to be Earth's most customer-centric company.
Learn more about Amazon
Size
1,608 employees
Market Cap
$832.6 billion
Industry
Net Income
$21.3 billion
Founded
1994
5 Year Trend
+28.1%
Revenue
$386 billion
NASDAQ

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