Applied Scientist, Execution and Planning Science
Amazon - Bellevue, Washington, USA
Posted Feb 18, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Applied Scientist, Execution and Planning Science Bellevue, Washington, USA The NA AMZL Supply Chain organization leads the innovation of Amazon's Last Mile. We are an Operations org that hires and manages associates to deliver packages next day and sub-same day. Our key vision is to transform the online experience by enabling ultra-fast delivery at lower cost possible. We're growing in scale and volume, by orders of magnitude. The Execution and Planning Science-Engineering (EPSE) team sits within NA AMZL Supply Chain with the mission to build world-class automated Science-Tech products that enable ultra-fast delivery speeds for Amazon customers and job market opportunities for Amazon associates. We are team of Scientists, Engineers and Tech leaders who invent and implement scalable algorithms for automated decision making in the Operations space. We are looking for an Applied Scientist to contribute to the future of Last Mile associate labor planning. Work will include advising on evolving flexible labor planning programs, optimizing our supply chain network, providing data-driven strategies to improve cost, reliability or speed. Designing, implementing and evaluating experiments, and measuring impact. Work will feed strategic analyses and also be part of production systems. Experience needed in Optimization and Statistics/ML. Key job responsibilities As an Applied Scientist, you'll design, model, develop and implement state-of-the-art models and solutions. As part of your role you will regularly interact with software engineering teams and business leadership. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS,
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