principal machine learning Applied Scientist management Phd's · Posted Sep 26, 2025
$297,500 – $350,000
USD per year

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
AI Summary
Director-level Applied Scientist leading complex economic and ML modeling projects at Amazon's Stores Economics team. Develops scientific models, manages data analysis and experimentation, and translates results into business impact. Requires PhD in Economics, CS, or Operations Research with industry/research experience and strong coding skills.

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Job description

from Amazon careers

We 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…

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