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Description

Join Amazon's Customer Delivery Experience (CDE) Science Team - Shaping the Future of Global Logistics

We're seeking exceptional scientists and researchers to revolutionize how Amazon delivers millions of packages worldwide. Our team operates at the intersection of machine learning, operations research, and large-scale systems optimization.

What We Do:

• Uncover and leverage causal relationships between Supply Chain dynamics and Customer Experience (CX) outcomes

• Develop predictive algorithms to identify and prevent delivery disruptions before they impact customers

• Design and implement real-time ML systems for intelligent decision-making across fulfillment and transportation networks

• Create sophisticated mathematical models optimizing the critical balance of speed, cost, and reliability

• Lead rigorous experimental design and analysis to systematically reduce delivery defects

Our Impact:

Working closely with Amazon's core logistics teams (Global Transportation Science, Supply Chain Optimization Technologies, and Amazon Fulfillment Technologies), we translate scientific innovations into practical solutions that directly improve customer delivery experiences at massive scale.

Ideal Candidates:

We're looking for innovative problem-solvers passionate about applying advanced research expertise to complex real-world logistics challenges. If you're excited about transforming global delivery systems through data-driven innovation, we want to hear from you.

Key job responsibilities

- Work backwards from customer needs to determine appropriate scientific approaches

- Deliver high-quality solutions that balance innovation with business impact

- Invent or adapt new scientific approaches, models and algorithms at the project level, driven by customer needs

- Design and deploy production-quality components that meet engineering standards

- Develop scalable solutions that can be integrated into larger systems

- Produce high-quality research reports and potentially contribute to peer-reviewed publications

- Drive operational excellence in team deliverables

A day in the life

As a scientist on our team, you'll balance intellectual discovery with real-world impact. Your day might include leading research initiatives, collaborating with cross-functional teams, analyzing vast datasets, and developing innovative solutions that directly improve customer experiences. You'll work closely with Amazon's core logistics teams, translating scientific innovations into practical solutions that enhance delivery experiences at massive scale.

About the team

The Customer Delivery Excellence (CDE) Science team operates at the intersection of advanced analytics, applied research, and operational excellence within Amazon's global supply chain. Our multidisciplinary team of scientists tackles complex challenges across the entire fulfillment and delivery network, combining theoretical frameworks with practical applications to drive meaningful improvements in service performance.

We value innovative problem-solvers passionate about applying advanced research expertise to complex real-world logistics challenges. Our culture emphasizes both scientific rigor and practical results, offering opportunities to publish in top-tier academic venues while seeing your solutions directly impact millions of customer experiences.

Basic Qualifications

- 5+ years of building machine learning models or developing algorithms for business application experience

- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience

- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience programming in Java, C++, Python or related language

- Experience in professional software development

Preferred Qualifications

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.