Senior Applied Scientist for Amazon Brands

Join Amazon's Private Brands Discovery team as a Senior Applied Scientist. Drive machine learning innovation to enhance customer product discovery and brand awareness in a collaborative environment. This high-visibility role blends technical expertise with business acumen in machine learning and data analysis. You will tackle complex causal ML problems, design robust models, and empower teams to derive actionable insights. Your experience in algorithms and strong mentoring skills will enhance Amazon's commitment to scientific excellence. Key Responsibilities: • Lead end-to-end applied science projects in machine learning • Develop and deploy ML pipelines with monitoring practices • Identify and propose advancements in algorithms and models • Present analytical insights to leadership teams • Mentor junior scientists and facilitate peer research critique Requirements: • 3+ years in machine learning model development • PhD or Master's with at least 6 years in applied research • Proficient in programming with Python, Java, or C++ • Strong background in neural networks and causal inference Lead impactful machine learning initiatives and shape the future of Amazon's product offerings.

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Work Hours

Full Time