Pricing Science Lead — ML, Transformers & Causal AI

Amazon; Seattle, Northern (WA, KY); Hybrid; USD 167,000 - 226,000; Full time

Job summary

Amazon is seeking a Sr. Applied Scientist for Pricing Optimization in Seattle, WA, to advance price prediction and promotion models across Amazon’s products.

You will lead deep learning and transformer-based approaches, collaborate across product, engineering, and science teams, and drive measurable pricing improvements at scale. The role emphasizes experimentation, causal inference, and rigorous statistics, with a fast-paced, ambiguous environment.

Qualifications

• 4+ years of applied research experience.
• 3+ years of building machine learning models for business applications.
• PhD, or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• See the big picture and influence the long-term vision for pricing techniques.
• Build price prediction models using deep learning, transformers, and statistics.
• Collaborate with product, engineering, and science teams to deploy ML price estimation solutions at scale.
• Design neural network architectures, sequence models, and transformers for large-scale pricing.
• Stay current on deep learning and probabilistic forecasting advances and apply them where relevant.

Skills

Applied research

ML model development

Programming - Java/C++/Python

Deep learning

Education

PhD or MS + 6+ years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon is seeking a Sr. Applied Scientist for Pricing Optimization in Seattle, WA, to advance price prediction and promotion models across Amazon’s products.

You will lead deep learning and transformer-based approaches, collaborate across product, engineering, and science teams, and drive measurable pricing improvements at scale. The role emphasizes experimentation, causal inference, and rigorous statistics, with a fast-paced, ambiguous environment.