Senior Applied Scientist, Strategic Sourcing Innovation

Amazon Inc.

Factoria (WA)

Vor Ort

USD 167.000 - 226.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

RSUs
Comprehensive benefits

Zusammenfassung

Amazon is seeking a Senior Applied Scientist to lead strategic sourcing science within OSS. You will define problem statements, develop novel optimization and reinforcement-learning solutions, and deploy models into production. You will collaborate with engineers, PMs, and business teams to translate needs into robust scientific software and scalable systems.

A PhD in OR or related field is required. The role emphasizes leadership, cross-team influence, and participation in publications and

Qualifikationen

  • 5+ years of applied research experience.
  • PhD in operations research or applied mathematics with industry experience.
  • Knowledge of supply chain management, inventory control, stochastic optimization.
  • Proficiency in Python with production-quality scientific software.
  • Technical depth in optimization, causal inference, stochastic modeling, or sequential decision-making.

Aufgaben

  • Set the scientific strategic vision for the team and roadmap.
  • Frame research challenges and invent novel methodologies.
  • Prioritize short-term vs. long-term and business vs. technology needs.
  • Deliver maintainable, well-tested code and scalable solutions.
  • Drive design of complex software solutions and production deployment.
  • Develop reusable science components and influence engineering strategies.
  • Collaborate with scientists across Amazon and publish findings.
  • Mentor others and participate in science hiring processes.

Kenntnisse

Applied research
Optimization
Reinforcement learning
Python coding
Production quality software
Cross-functional collaboration

Ausbildung

PhD in operations research

Tools

PyTorch
TensorFlow
Python

Jobbeschreibung

Amazon is seeking a Senior Applied Scientist to lead strategic sourcing science within OSS. You will define problem statements, develop novel optimization and reinforcement-learning solutions, and deploy models into production. You will collaborate with engineers, PMs, and business teams to translate needs into robust scientific software and scalable systems.

A PhD in OR or related field is required. The role emphasizes leadership, cross-team influence, and participation in publications and

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