2025 Operations Research Science Internship - United States, PhD Student Science Recruiting

Do you enjoy solving challenging problems and driving innovations in research Do you want to create scalable optimization models and apply machine learning techniques to guide realworld decisions We are looking for builders innovators and entrepreneurs who want to bring their ideas to reality and improve the lives of millions of customers.

As a Research Science intern focused on Operations Research and Optimization intern you will be challenged to apply theory into practice through experimentation and invention develop new algorithms using modeling software and programming techniques for complex problems implement prototypes and work with massive datasets. As you navigate through complex algorithms and data structures youll find yourself at the forefront of innovation shaping the future of Amazons fulfillment logistics and supply chain operations.

Imagine waking up each morning fueled by the excitement of solving intricate puzzles that have a direct impact on Amazons operational excellence. Your day might begin by collaborating with crossfunctional teams exchanging ideas and insights to develop innovative solutions. Youll then immerse yourself in a world of data leveraging your expertise in optimization causal inference time series analysis and machine learning to uncover hidden patterns and drive operational efficiencies.

Throughout your journey youll have access to unparalleled resources including stateoftheart computing infrastructure cuttingedge research papers and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically communicate effectively and thrive in a fastpaced innovative environment where bold ideas are celebrated.

Amazon has positions available for Operations Research Science Internships in but not limited to Bellevue WA; Boston MA; Cambridge MA; New York NY; Santa Clara CA; Seattle WA; Sunnyvale CA.

Key job responsibilities
We are particularly interested in candidates with expertise in: Optimization Causal Inference Time Series Algorithms and Data Structures Statistics Operations Research Machine Learning Programming/Scripting Languages LLMs

In this role you ain handson experience in applying cuttingedge analytical techniques to tackle complex business challenges at scale. If you are passionate about using datadriven insights to drive operational excellence we encourage you to apply.

The ideal candidate should possess the ability to work collaboratively with diverse groups and crossfunctional teams to solve complex business problems. A successful candidate will be a selfstarter comfortable with ambiguity with strong attention to detail and the ability to thrive in a fastpaced everchanging environment.

A day in the life
Develop and apply optimization causal inference and time series modeling techniques to drive operational efficiencies and improve decisionmaking across Amazons fulfillment logistics and supply chain operations

Design and implement scalable algorithms and data structures to support complex optimization systems

Leverage statistical methods and machine learning to uncover insights and patterns in largescale operations data

Prototype and validate new approaches through rigorous experimentation and analysis

Collaborate closely with crossfunctional teams of researchers engineers and business stakeholders to translate research outputs into tangible business impact

Are enrolled in a PhD in operations research applied mathematics theoretical computer science or equivalent
Are 18 years of age or older
Work 40 hours/week minimum and commit to 12 week internship maximum
Can relocate to where the internship is based

Experience in causal modeling like graphical models causal Bayesian network potential outcomes A/B testing experiments quasiexperiments and data science workflows
Experience with at least one modern language such as Java Python C or C# including objectoriented design

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 for more information. If the country/region youre applying in isnt 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 $136000/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.