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

About the role

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 statistical 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, 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

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

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