Applied Scientist, WWOS Tech

Amazon

Seattle, WA, US
Not specified; not specified; not specified
On-site
Phd in research statistics engineering or supply chain
Build ml models for fraud detection
Detect organized crime rings and bad actors
This role focuses on detecting theft, fraud, and organized crime across Amazon's global supply chain using advanced machine learning

Job Summary

  • This role focuses on detecting theft, fraud, and organized crime across Amazon's global supply chain using advanced machine learning.
  • The successful candidate will own business challenges from day one, utilizing data to influence strategic changes and maximize cost savings.
  • The team values a supportive culture that prioritizes work-life balance and encourages diverse backgrounds to foster inclusive innovation.

Matching Summary

This role focuses on detecting theft, fraud, and organized crime across Amazon's global supply chain using advanced machine learning.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • PhD in Research Statistics Engineering or Supply Chain
  • Build ML models for fraud detection
  • Detect organized crime rings and bad actors
  • Own KPIs for theft management performance
  • Present key learnings to stakeholders

Nice-to-have

  • History of building fraud detection systems
  • Ability to work independently in ambiguous environments
  • Strategic thinking and data-driven decision making
  • Experience with self-learning systems

Key Requirements

  • PhD in Research, Statistics, Engineering, or Supply Chain
  • High potential graduate ready for challenging opportunities

Work Rights

Not specified

Tailored Resume

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