Director, Applied Science, Stores Economics and Science
Amazon · Mountain View, CA · Applied Science
About this role
Amazon is hiring a principal-level Applied Scientist in the machine learning function based in Mountain View, CA. The posting calls out experience with Python, R, NLP, Computer Vision. Listed education preference: a Ph.D. or equivalent. Compensation is listed at $297,500–$350,000 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- principal
- Track
- Management
- Employment
- Full-time
- Location
- Mountain View, CA
- Education
- Ph.D. preferred
- Department
- Applied Science
- Posted
- Sep 26, 2025
More roles at Amazon
Job description
from Amazon careersWe are looking for a science leader who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas. At the senior level, we expect you be able to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis. About the team The Stores Economics and Science (SEAS) organization uses economics, statistics, and machine learning to understand…