Applied Scientist III, Sponsored Products and Brands
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The role
Drive end-to-end machine learning projects on ad serving for billions of product pages, balancing ambiguity, scale, and impact.
Perform hands-on analysis of enormous datasets to derive insights that increase traffic monetization while preserving the shopper experience.
Build, validate, and deploy ML models; work with software engineers to deliver production-ready solutions.
Run A/B experiments, collect data, and perform statistical analyses to quantify impact.
Establish scalable, automated processes for large-scale data analysis, model development, validation, and serving.
Explore innovative ML approaches across NLP, deep learning, reinforcement learning, vector search, and image recognition, and mentor junior scientists.
Perform hands-on analysis of enormous datasets to derive insights that increase traffic monetization while preserving the shopper experience.
Build, validate, and deploy ML models; work with software engineers to deliver production-ready solutions.
Run A/B experiments, collect data, and perform statistical analyses to quantify impact.
Establish scalable, automated processes for large-scale data analysis, model development, validation, and serving.
Explore innovative ML approaches across NLP, deep learning, reinforcement learning, vector search, and image recognition, and mentor junior scientists.
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