Amazon
Sr. Applied Scientist, Pricing Science
$167K–$226K
Seattle, WA · Senior · Full-time · Posted Sep 17, 2026
- Experience
- 4+ years of applied research experience; 3+ years of building machine learning models for business application experience; PhD, or Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Develop and deploy machine-learning models and optimization methods for Amazon’s algorithmic pricing and promotions, measuring their effects on customers and business outcomes.
What you'll do
- Build deep-learning and transformer-based price prediction, forecasting, and optimization models.
- Partner with product, engineering, and science teams to deploy pricing solutions and quality guardrails at scale.
- Use causal methods and experimentation to assess pricing decisions and improve customer and business outcomes.
What they ask for
- Experience programming in Java, C++, Python or related language.
- Experience with neural deep learning methods and machine learning.
- PhD, or Master's degree and 6+ years of applied research experience.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Pay
167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MxNet, Tensorflow, Hadoop
AI focus
Applies machine learning, deep learning, neural networks, transformers, causal inference, and reinforcement-learning optimization to pricing prediction, forecasting, and optimization.
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