Research Scientist Amazon
Seattle, WA

Job Description

Amazon aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon has invested in Amazon F3 Post Order (F3PO) technology and science, to deliver a world class ordering experience. We are looking for a dynamic, resourceful, and organized Research Scientist within the F3PO organization to develop new optimization prototypes, perform the necessary data manipulations to source the right signals into the optimization system, and collaborate to put models into production. This will help bring robustness when supporting the most critical components of this rapidly scaling operation.

As part of the F3PO Science & Technology organization, you'll partner closely with Science, Product, Tech, and Program teams to design and develop optimization algorithms to solve organizational and business problems, using statistical and operational research best practices to justify design decisions using data. You will be expected to be a subject matter expert in operational research and to communicate highly complex findings to multiple audiences. The ability to understand and incorporate demand and capacity signals is a highly valuable skill - we want to understand our customers and give them the best experience. You may come from a variety of quantitative backgrounds, but you must be comfortable with multiple modeling techniques, be able to acquire new techniques with practice, and be willing to show flexibility in finding the right technique to match the research problem.

In addition to designing meaningful research questions and analyzing the resulting data, you must be able to execute on design solutions, collaborating closely with multiple teams to ensure the relevance and impact of your work to business stakeholders. You will be responsible for developing new predictive and optimization models, as well as algorithms for key applications and discovering new ways to solve organizational problems. Successful candidates will have a deep knowledge of quantitative modelling in at least one area (ML and optimization), the ability to build and refine prototype models that can be implemented in production, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long-term problems.

Key Responsibilities:

* Execute global research initiatives
* Conduct, direct, and coordinate all phases of research projects, demonstrating skill in all stages of the analysis process, including defining key research questions, recommending measures, working with multiple data sources, evaluating methodology and design, executing analysis plans, interpreting and communicating results
* Share deep knowledge in statistics, machine learning, or optimization research applicable to our problem space.
* Work in an ambiguous environment