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Sr. Applied Scientist, Pricing Science
We are looking for a talented, organized, and customer-focused applied researcher to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and pr
- Company
- Amazon
- Location
- Seattle, Washington, USA
- Status
- Open
- Posted
- 2026-09-17T00:00:00+00:00
Amazon's Pricing Optimization science group is hiring a senior applied scientist to build and refine algorithmic pricing and promotion models across products listed on Amazon. The work covers deep-learning price prediction and forecasting, transformer and sequence architectures, causal inference for measuring pricing impact, and a reinforcement-learning optimization platform. The posting asks for four or more years of applied research, three years building machine-learning models for business use, a PhD or a master's plus six years, and programming in Python, Java, or C++.
Original job posting