Posted ago Seattle, On-site Amazon Applied Scientist, Pricing and Promotion Optimization
Listed on 2026-03-01
-
IT/Tech
Machine Learning/ ML Engineer, Data Analyst, AI Engineer, Data Scientist
Why Here?
Amazon’s Pricing & Promotions Science harnesses planet-scale multi-modal datasets to generate competitive prices for billions of Amazon and third-party products worldwide. The Pricing Discovery and Optimization team within P2 Science drives price quality, discovery, and discount initiatives including pricing bandits and promotion optimization. They leverage vast data on Amazon and competitors to build advanced models for pricing, elasticity estimation, product substitutability, and optimization while preserving customer trust.
WhatWill You Do?
As an Applied Scientist at Amazon, you will partner with product, engineering, and science teams to deploy machine learning price estimation solutions will shape the RL optimization platform and drive promotion initiatives exploring CX and cross-product opportunities. Additionally, you will foster rapid experimentation and apply ML expertise to solve complex pricing problems for massive impact.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).