Sr. Data Scientist, Books Ads, Amazon Books Ads Science Job at Amazon in San Fra

Sr. Data Scientist, Books Ads, Amazon Books Ads Science Job ID: 3127083 | Amazon.com Services LLC Overview 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. The team also drives advertiser engagement, represents advertisers' voice, and provides operational support for our programs. They own all book‑specific experiences for Sponsored Products, Sponsored Brands, Sponsored Display, Lock Screen Advertising, the Ads Console, and the Public API. Key Responsibilities Participate in end-to-end Machine Learning projects that have a high degree of ambiguity, scale, and 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 building machine‑learning models, perform proof‑of‑concepts, experiments, optimization, and deployment of 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. Day in the Life 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. Basic Qualifications 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab). 4+ years of data scientist experience. Experience with statistical models such as multinomial logistic regression. Preferred Qualifications 2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, etc. Experience managing data pipelines. Experience as a leader and mentor on a data science team. Compensation The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Depending on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. Posted: October 8, 2025 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations. #J-18808-Ljbffr