Sr. Applied Scientist, Pricing Science
Core
Develop and deploy algorithmic pricing and promotion models using deep learning and causal inference to optimize Amazon's pricing strategies and measure their impact on customer behavior.
Role type
Senior Applied Scientist (Pricing Science)
Builds
Algorithmic pricing systems, price prediction models, and RL optimization platforms for Amazon's marketplace.
Domain
E-commerce, Pricing Science, Machine Learning
Deliverable
production ML models
Required skills
Deep learning, Neural networks, Transformer architectures, Causal inference, Uplift modeling, Applied statistics, Probabilistic modeling, Python, Java/C++
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, Hadoop, Distributed systems
Responsibilities
Design neural network-based architectures for large-scale price prediction, Partner with product and engineering to deploy ML solutions, Establish mechanisms to track scientific advancements in deep learning and optimization, Validate hypotheses using statistical rigor to drive pricing improvements, Shape and extend RL optimization platforms, Implement error detection and price quality guardrails.
Seniority
Senior, hands-on IC