Amazon
Research Scientist, Pricing Science
$136K–$184K
Seattle, WA · Full-time · Posted Oct 28, 2026
- Experience
- 4+ years of quantitative field research experience with a Master's degree; alternatively, a PhD is required.
- Education
- PhD, or Master's degree and 4+ years of quantitative field research experience
About the job
Own causal inference for Amazon pricing experimentation by developing causal ML models, analysis methods, and reusable production infrastructure.
What you'll do
- Design, train, evaluate, and deploy causal ML pipelines, including CATE and heterogeneous treatment effect models.
- Set causal inference methods and standards, and contribute analysis methods and reusable tools for pricing experiments.
- Evaluate emerging causal methods and partner with economists, engineers, and product managers on identification, deployment, and experiment design.
What they ask for
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience applying scientific principles and concepts to business problems and products
- Experience analyzing experimental and observational data sets
Nice to have
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
Pay
136,000.00 - 184,000.00 USD annually (base salary)
Tools
R, MATLAB, Python, Java, C++
AI focus
Develop and deploy causal ML for pricing, including CATE estimation, heterogeneous treatment effect frameworks, and reusable causal inference infrastructure.
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