Research Scientist, Modeling and Optimization (MOP)

Amazon
USA, WA, Bellevue2026-03-17ONSITE

About the job

Do you enjoy solving challenging problems and driving innovations in research? Are you seeking for an environment with a group of motivated and talented scientists like yourself? Do you want to create scalable optimization models and apply machine learning techniques to guide real-world decisions? Do you want to play a key role in the future of Amazon transportation and operations? Come and join us at Amazon's Modeling and Optimization team (MOP).

Responsibilities

provides analytical decision support to Amazon planning teams via applying advanced mathematical and statistical techniques.

collaborates effectively with Amazon internal business customers, and is their trusted partner

is proactive and autonomous in discovering and resolving business pain-points within a given scope

is able to identify a suitable level of sophistication in resolving the different business needs

is confident in leveraging existing solutions to new problems where appropriate and is independent in designing and implementing new solutions where needed

is aware of the limitations of their proposed solutions and is proactive in communicating them to the business, and advances the application of sciences towards Amazon business problems by bringing new methods, ideas, and practices to the team and scientific community.

Qualifications

Minimum

PhD, or Master's degree and 4+ years of quantitative field research experience

Experience investigating the feasibility of applying scientific principles and concepts to business problems and products

Experience analyzing both experimental and observational data sets

Preferred

Knowledge of R, MATLAB, Python or similar scripting language

Experience with agile development

Experience building web based dashboards using common frameworks