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Amazon Advertising is one of Amazon’s fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! The Books Advertising team owns the worldwide advertising business for books, including advertiser and shopper experiences. They develop long-term vision and drive improvements for category relevance, auction dynamics, and ad serving. Additionally, they drive advertiser engagement, represent advertisers’ voice, and provide operational support for our programs. This means the team owns all book-specific experiences for Sponsored Products, Sponsored Brands, Sponsored Display, Lock Screen Advertising, the Ads Console, and the Public API. As an Applied Scientist on this team, you will: – Participate in end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. – Effectively perform hands-on analysis and research of large data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. – Contribute to build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. – Run A/B experiments, gather data, and perform statistical analysis. – Help establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. – Research new and innovative machine learning approaches. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit – with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers’ needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video https://youtu.be/zD_6Lzw8raE ** Due to the RTO policy, Candidates have to be based at Arlington County/Virginia (HQ2), or be willing to relocate to HQ2** Key job responsibilities * Actively participate in or lead the applied science projects involving Generative AI and/or other cutting-edge technologies to address customer’s painpoints * Conduct advanced and insightful data analytics to reveal business opportunities and contribute to the roadmap of the team * Deliver models, experiments, OE artifacts to drive impact * Author whitepapers, tech docs and conference papers to influence the science community. A day in the life A typical day in the life of this position usually involves highly effective analytics and modeling during a period of focus time, engaging with PMs and stakeholders to communicate problem scopes, statuses, challenges and solutions, working with peers to brainstorm ideas, and documenting material achievements, observations and results. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA
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