Join Amazon's Supply Chain Optimization Technologies (SCOT) Long-Term Planning team, where you will architect the future of the world's most advanced fulfillment network by combining Operations Research, Machine Learning, and AI. As a Research Scientist on our team, you will drive multi-billion dollar investment decisions that shape Amazon's global fulfillment strategy, directly influencing our ability to delight millions of customers while optimizing billions in capital investments. Your impact will be far-reaching, as your insights and recommendations will be presented to the highest levels of senior leadership, helping guide company-wide strategy.
In this role, you will develop our next-generation coordinated capacity planning platform. This will require creating sophisticated models, which transform complex supply chain challenges into elegant mathematical solutions. You will design and implement novel algorithms that optimize warehouse placement, timing, and capacity, all while leveraging advanced machine learning techniques, AI and large-scale optimization modeling.
You will join our Long-Term Planning organization, collaborating with world-class research scientists, applied scientists, economists, product managers, and software engineers. We are seeking innovative thinkers who can balance theoretical excellence with practical implementation. Your ability to communicate complex technical concepts and drive data-driven decisions at massive scale will be crucial to your success.
If you are passionate about solving complex mathematical challenges and ready to shape the future of fulfillment technology at the world's most customer-centric company, we want to hear from you.
A day in the life
As a Senior Research Scientist, you will work at the intersection of operations research, machine learning, AI and supply chain optimization. A typical day might include:
- Developing and analyzing new mathematical models for supply chain optimization
- Collaborating with cross-functional teams on research initiatives
- Designing experiments to validate theoretical approaches
- Writing research papers and technical documentation
- Presenting findings to business stakeholders
- Mentoring junior scientists and providing technical guidance to implementation teams- 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- PhD, or Master's degree and 5+ years of quantitative field research experience
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience communicating qualitative research methods and findings to non-qualitative researchers- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms
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 $143,300/year in our lowest geographic market up to $247,600/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.
