Sr. Principal Scientist, Stores Economics and Science

Seattle, Washington, United States💼 Full-time💰 $240,100–$240,100🗓 2026-07-06 → 2026-07-31

Core

Science leader providing structure for complex business problems, validating ML models on large-scale data, and translating analysis into high-impact policies and programs for Amazon's business.

Role type

Sr. Principal Scientist (Applied Economics & ML)

Builds

Scientific models, data analysis frameworks, and validation pipelines for Amazon's buyer-seller network economy.

Domain

E-commerce, Applied Economics, Machine Learning

Deliverable

production ML models

Required skills

Applied economic analysis, Econometrics, Machine learning model validation, Large-scale data analysis, Statistical modeling, Scripting (R/Python/Matlab/STATA), Cross-functional collaboration

Preferred skills

High-quality analysis of data at scale, Complex system communication, Strategic execution

Technologies

R, Python, Matlab, STATA

Responsibilities

Own development of scientific models, Manage data analysis and experimentation with scientists and engineers, Communicate model properties to business partners, Incorporate feedback into projects, Estimate and validate ML models on large scale data, Turn analysis results into actionable policies and programs

Seniority

Principal, strategy & mentorship

Rewrite

## Responsibilities - Provide structure around complex business problems. - Work with machine learning scientists to estimate and validate their models on large scale data. - 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. - Own the development of scientific models. - Manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation necessary for estimating and validating your model. - Work with business partners to communicate the properties of your analysis/modeling and incorporate their feedback and requests into your project. - Drive adoption of AI science and technology across Amazon by partnering with business teams on science-heavy problems. - Incubate products with high AI research risk. - Reduce friction and manual effort with AI tooling. - Raise the scientific bar across all teams at Amazon. ## Requirements - PhD in Economics, Computer Science, Operations Research or highly related field (Physics, Statistics, Mathematics). - Experience in industry, consulting, government, or academic research. - Coding ability in a scripting language such as R, Python, Matlab, or STATA. ## Nice to Have - Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership. - Applicants with considerably more and broader experience are also strongly encouraged. - Strong track record in performing high-quality analysis of data at scale. ## Benefits - Base salary range: USA, CA, Palo Alto - 276,100.00 - 350,000.00 USD annually; USA, WA, Seattle - 240,100.00 - 324,800.00 USD annually. - Sign-on payments and restricted stock units (RSUs). - Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. - Equal opportunity employer with no discrimination based on protected veteran status, disability, or other legally protected status. - Inclusive culture and workplace accommodations available for applicants with disabilities.

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