Senior Applied Scientist, Buyer Risk Prevention (BRP)

Amazon

Bengaluru, KA, IN
Not specified; not specified; not specified
On-site
Advanced machine learning systems design
Fraud and risk modeling expertise
Generative ai and llm technologies
Amazon is seeking a Senior Applied Scientist for its Buyer Risk Prevention team in Bengaluru, focusing on developing advanced machine learning systems to enhance fraud and risk management. The role involves leading scientific strategies, deploying scalable ML solutions, and mentoring junior scientists while leveraging cutting-edge technologies like Generative AI

Job Summary

  • This role leads the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives to safeguard millions of daily transactions.
  • The successful candidate will drive innovation by leveraging advanced ML, deep learning, and GenAI/LLM technologies to automate risk evaluation.
  • You will mentor junior scientists and establish best practices for experimentation, model validation, monitoring, and lifecycle management.

Matching Summary

Match Score: 85

Amazon is seeking a Senior Applied Scientist for its Buyer Risk Prevention team in Bengaluru, focusing on developing advanced machine learning systems to enhance fraud and risk management. The role involves leading scientific strategies, deploying scalable ML solutions, and mentoring junior scientists while leveraging cutting-edge technologies like Generative AI.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Advanced machine learning systems design
  • Fraud and risk modeling expertise
  • Generative AI and LLM technologies
  • Real-time production environment deployment
  • Cross-team technical strategy influence

Nice-to-have

  • Mentoring junior scientists
  • Communicating insights to senior leadership
  • Identifying emerging scientific trends
  • Step-change improvements through innovation

Key Requirements

  • Senior level experience in applied science
  • Expertise in scalable machine learning systems
  • Strong background in fraud and risk challenges

Work Rights

Not specified

Tailored Resume

Cover Letter