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Description

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? Have you also wondered what are different ways that the transportation assets can be used to delight the customer even more.

If so, the Amazon transportation Services, Product and Science is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner through optimizing the network flow, producing accurate forecasting using advanced algorithms. In addition, the team is exploring GenAI/LLM to build the next-generation agent framework to answer "why" in business review and metrics deep-dives.

We are looking for an enthusiastic, customer obsessed, Applied Scientist with strong scientific thinking, good software and statistics experience, skills to help manage projects and operations, improve metrics, and develop scalable processes and tools.

Ideal candidates will be:

- A high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space;

- Experience with integer programming, network design, graph modeling, Deep Learning and AI/LLM experience;

- Experience programming in Python, Javascript, C++, or related language.

Key job responsibilities

We are looking for a talented Applied Scientist to address business challenges in the operations world. The key responsibilities and modeling themes are:

- Enable optimization use cases, and improve existing methodologies for better customer experiences using state-of-the-art techniques in ML/DL;

- Work on the forecasting model architecture design, implementation, and delivery of analytical and modeling solutions to support network-level planning;

- Take a lead on new initiatives in AI development with LLM agent framework, and promote efficiency for the org from high-level business summary to metric deep-dive.

Basic Qualifications

- 3+ years of programming in Java, C++, Python or related language experience

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

- Experience building machine learning models or developing algorithms for business application

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

- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

- Experience using Unix/Linux

- Experience in professional software development

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.