Amazon
Applied Scientist, Pricing Science
$143K–$193K
Seattle, WA · Full-time · Posted Sep 9, 2026
- Experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Build and deploy production-scale causal machine learning systems and experimentation tools to improve Amazon’s pricing decisions.
What you'll do
- Design, train, evaluate, and deploy causal estimation pipelines for pricing, including heterogeneous treatment effect models.
- Develop causal analysis methods and reusable tools for pricing experiments and A/B tests, partnering with economists and engineering teams.
- Evaluate causal inference techniques and connect model performance to business outcomes such as pricing errors avoided and LTV estimates.
What they ask for
- PhD, or a Master's degree and 4+ years of CS, CE, ML, or related field experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- Experience using Unix/Linux.
- Professional software development experience; generative AI tool usage and ability to identify opportunities for generative AI.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, Unix/Linux
AI focus
Preferred experience using generative AI tools to enhance workflow efficiency, willingness to learn prompting and evaluation practices, and ability to identify opportunities for generative AI in products, workflows, or customer experiences.
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