Sr. Data Scientist, Books Ads, Amazon Books Ads Science

Sr. Data Scientist, Books Ads, Amazon Books Ads Science 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. Sponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The Books Advertising team owns the worldwide advertising business for books – including Sponsored Products, Sponsored Brands, Sponsored Display, Lock Screen Advertising, the Ads Console, and the Public API – and is focused on creating category‑relevant, high‑quality shopping experiences for both advertisers and shoppers. Key Responsibilities Participate in end‑to‑end Machine Learning projects that have high ambiguity, scale, and complexity. 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. Build, proof‑of‑concept, experiment, optimize, and deploy machine learning models; work closely with software engineers to assist in productionization. Run A/B experiments, gather data, and perform statistical analysis. Help establish scalable, efficient, automated processes for large‑scale data analysis, model development, validation, and serving. Research new and innovative machine learning approaches. A 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, generating billions in revenue and driving long‑term growth for Amazon’s Retail and Marketplace businesses. Our solutions deliver billions of ad impressions and millions of clicks daily. We break new ground in product and technical innovations every day, creating world‑class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit and a broad mandate to experiment and innovate. About the Team 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 enable native advertising. This is an opportunity to work within the fastest‑growing businesses across all of Amazon. You will define a long‑term science vision for our advertising business, translate that vision into specific plans for research and applied scientists, as well as engineering and product teams. The role combines science leadership, organizational ability, technical strength, product focus, and business understanding. 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 experience visualizing data using AWS QuickSight, Tableau, R Shiny, or similar tools. Experience managing data pipelines. Experience as a leader and mentor on a data science team. Equal Opportunity Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 for more information. Compensation and Benefits 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. Amazon offers a total compensation package that may include equity, sign‑on payments, and other forms of compensation, in addition to a full range of medical, financial, and other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. #J-18808-Ljbffr