Applied Scientist, Last Mile Science

Description

Are You Ready to Redefine How the World Receives Its Packages? What if your algorithms defined the most efficient path for millions of deliveries — every single day? At Amazon, we're building the science that makes that possible, and we're looking for exceptional scientists to help lead the way.

What You'll Do

• Design and build algorithms that solve large-scale, complex logistics problems
• Synthesize data from diverse sources to identify high-value business opportunities
• Provide research direction and data-driven insights to guide strategic decisions
• Translate complex technical approaches into clear communication for scientists, engineers, and business stakeholders
• Possess strong communication skills — you can explain complex technical concepts to diverse audiences
• Have a bias for action and an iterative mindset when tackling ambitious research challenges

What You'll Work On

• Routing for same-day and grocery deliveries
• Planning for electric and autonomous vehicles
• District-level and stop-level planning
• Forecasting solutions for diverse delivery programs

What We're Looking For

• Deep expertise in Operations Research and/or Machine Learning methods
• Proven experience applying these methods to large-scale, real-world business problems
• Ability to translate models into production-ready code in Python or Java
• Strong communication skills — you can explain complex technical concepts to diverse audiences
• A bias for action and an iterative mindset when tackling ambitious research challenges

Key job responsibilities

• Invent and design novel solutions for scientifically complex problem areas, and identify opportunities for invention within existing and new business initiatives
• Deliver large-scale, high-impact solutions to complex problems in support of medium-to-large business goals
• Shape the design of scientifically complex software systems, personally contributing significant portions of the critical scientific novelty
• Apply mathematical optimization, machine learning, and Generative AI techniques to develop solution methodologies for in-house decision support tools and software
• Research, prototype, simulate, and experiment with models — and actively participate in their production-level deployment in Python or Java
• Engage with the broader scientific community by publishing research articles and participating in leading research conferences

Basic Qualifications

• PhD, or Master's degree and 5+ years of building machine learning models or developing algorithms for business application experience
• 2+ years of programming in Java, C++, Python or related language experience
• Experience applying theoretical models in an applied environment

Preferred Qualifications

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• 3+ years of building machine learning models or developing algorithms for business application experience