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Description

Join Amazon's Customer Delivery Experience (CDE) Science Team as an Data Scientist to revolutionize global logistics through revolutionary research and innovation. Our team combines advanced machine learning and transportation logistics to improve delivery experiences for millions of customers worldwide. Working collaboratively with Amazon's core logistics teams, you will translate scientific innovations into practical solutions that drive meaningful improvements across our global fulfillment and delivery network.

Key job responsibilities

- Develop predictive algorithms to prevent delivery disruptions

- Design machine learning systems for network-wide decision-making

- Create mathematical models that optimize delivery speed, cost, and reliability

- Implement generative AI solutions to enhance customer experiences

- Produce research reports and contribute to peer-reviewed publications

- Collaborate across teams to develop scalable, innovative solutions

A day in the life

Imagine a role where your analytical skills directly impact customer satisfaction. You'll dive into complex datasets, collaborate with cross-functional teams, and translate sophisticated research into practical logistics solutions. Your work bridges academic rigor with tangible business improvements, seeing your innovations come to life in real-time.

About the team

We are a dynamic, multidisciplinary group passionate about pushing the boundaries of supply chain science. Our team combines advanced analytics with operational excellence, creating innovative solutions that transform how millions of customers receive their packages. We value diverse perspectives and collaborative problem-solving, offering an environment where scientific creativity meets practical impact.

Basic Qualifications

- Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Preferred Qualifications

- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)

- Experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale

- Experience in data science, machine learning or data mining

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 $97,500/year in our lowest geographic market up to $185,000/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.