Job Description
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 promotion models across all products listed on Amazon. This role requires an exceptional machine learning modeling and architecture background, excellent cross‐functional collaboration skills, business acumen, and an entrepreneurial spirit. It ideally suits a self‐starter comfortable with ambiguity, who pays close attention to detail and thrives in a fast‐paced, ever‐changing environment. Key Job Responsibilities See the big picture—understand and influence the long‐term vision for Amazon's science‐based competitive, perception‐preserving pricing techniques. Build strong collaborations—partner with product, engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Am...