Applied Scientist, Stores Economics & Science; SEAS
Listed on 2026-07-16
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Applied Scientist, Stores Economics & Science (SEAS)
Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak‑jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with partner teams; and learning from the tools, experience, and perspective of others.
We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. We also help other teams within Amazon scale by hiring and developing the best and embedding them in other business units.
In 2026, we are focused on economics and science in areas related to (1) lowering cost‑to‑serve, (2) optimizing selection, and (3) emerging machine learning. We also have some ongoing and highly‑leveraged collaborations that help partner teams inside Amazon short‑circuit months of R&D or otherwise look around corners. We are looking for an Applied Scientist to build and deliver state‑of‑the‑art science and engineering solutions to improve our Stores business.
In this role, you will work in a team of scientists and engineers with backgrounds in machine learning, NLP, IR, statistics, and economics to identify bottlenecks in our business, conceive new ideas to overcome those challenges, and deploy scientific solutions in partnership with product teams.
Your responsibilities include developing and maintaining the scientific models, benchmarks, and services. Graduate education or hands‑on experience in machine learning, optimization, causal inference, Bayesian statistics, deep learning, or other quantitative scientific fields is a big plus. To be successful in this role, you should be a quick learner and comfortable with a high degree of ambiguity.
Key job responsibilities- Lead large‑scale science initiatives from research to production and translate complex business problems into mathematical frameworks.
- Design and implement large‑scale algorithms for complex supply chain and marketplace problems.
- Design incentive‑compatible mechanisms for marketplace challenges.
- Influence technical strategy and roadmaps for complex initiatives, influence senior stakeholders, and shape technical direction.
- Foster team growth and coordinate cross‑functional projects.
- 3+ years of building models for business application experience.
- PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience.
- 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.
- 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.
USA, CA, Palo Alto - $ - $ USD annually
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