A
Not Specified Permanent

Seattle, Washington · USA job

Applied Scientist, Execution Planning Science & Engineering

Amazon

Seattle, Washington

Job description

Overview

In this role you apply advanced modeling and experimentation to optimize Last Mile labor planning and supply chain decisions. You will collaborate with software engineers and business leaders to design scalable models, run controlled experiments, and measure impact. Your work informs strategic analyses and production systems, helping to deliver ultra-fast delivery at lower cost. You will operate at the intersection of science and operations, shaping the future of Amazon's Last Mile.

Compensation / Benefits
  • health insurance
  • 401(k) matching
  • paid time off
  • RSUs
  • sign-on payments
  • parternal leave
Responsibilities
  • Design, model, and implement state-of-the-art models and solutions for labor planning and logistics
  • Collaborate regularly with software engineering teams and business leadership to align on strategy
  • Design, implement, and evaluate experiments to measure impact and drive data-driven decisions
  • Provide strategic analyses feeding production systems and long-term planning
  • Advise on evolving flexible labor planning programs and optimization of the supply chain
  • Identify opportunities to improve cost, reliability, and speed through analytics and optimization
Key requirements
  • 3+ years building models for business applications
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Publications or patents in top-tier venues
  • Programming experience in Java, C++, Python or related language
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Cross-functional collaboration
  • Communication with technical and non-technical stakeholders
  • Problem-solving and analytical thinking
  • Optimization
  • Statistics/ML
  • Java, C++, Python

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