Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML

Amazon Inc.; Austin (TX); Ibrido; USD 143.000 - 193.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

RSUs

401(k) matching

Paid time off

Descrizione del lavoro

Amazon.com Services LLC is seeking a highly skilled Machine Learning Scientist to join the Buyer Risk Prevention (BRP) team. The role focuses on building scalable risk management models using ML and GenAI, analyzing terabytes of historical data to identify risk trends, and delivering end-to-end model implementations in collaboration with software and operations teams.

Qualifications include 3+ years of model-building experience or a PhD with relevant experience, plus proficiency in

Competenze

• 3+ years building models for business applications
• PhD or Master’s with 4+ years in CS/CE/ML related field
• Experience in Java, C++, Python or related language
• Experience in algorithms/data structures, data mining, parallel and distributed computing

Mansioni

• Use machine learning and GenAI techniques to create scalable risk management systems
• Learning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends
• Design, development and evaluation of innovative models for risk management
• Collaborating with software engineering teams to drive real-time model implementations and new features
• Collaborating with operations staff to optimize risk management operations
• Establishing scalable, automated processes for large-scale data analyses, model development, validation and implementation
• Tracking general business activity and providing regular management reporting
• Research and implement novel machine learning and statistical approaches

Conoscenze

Machine Learning

Statistics

Java

Python

C++

Formazione

PhD in CS/ML/Statistics

Masters in CS/ML related field

Strumenti

SQL

Spark

Python

Perl

Descrizione del lavoro

Job ID: 10570970 | Amazon.com Services LLC

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?

Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?

Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?

If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.

Key job responsibilities

• Use machine learning and GenAI techniques to create scalable risk management systems
• Learning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends
• Design, development and evaluation of highly innovative models for risk management
• Working closely with software engineering teams to drive real-time model implementations and new feature creations
• Working closely with operations staff to optimize risk management operations
• Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Tracking general business activity and providing clear, compelling management reporting on a regular basis
• Research and implement novel machine learning and statistical approaches

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• A PhD in CS, Machine Learning, GenAI, Statistics, Operations Research or relevant field 5+ years of industry experience in predictive modeling and analysis.
• Strong Machine Learning breadth and depth Strong skills with SQL Strong skills with Spark/Python/Perl (or similar)
• Ability to think creatively and solve problems Good written and spoken communication skills
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams

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 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, 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, WA, Seattle - 142,800.00 - 193,200.00 USD annually