Amazon
Sr. Data Scientist, Books Ads, Amazon Books Ads Science
Amazon, New York, New York, us, 10261
Sr. Data Scientist, Books Ads, Amazon Books Ads Science
Join to apply for the
Sr. Data Scientist, Books Ads, Amazon Books Ads Science
role at
Amazon
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.
Key responsibilities
Participate in end‑to‑end Machine Learning projects that have a high degree of 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 machine learning models, perform proof‑of‑concept, experiment, optimize, and deploy models into production; work closely with software engineers to assist in productionizing 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.
Qualifications 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 using AWS QuickSight, Tableau, R Shiny, etc.
Experience managing data pipelines.
Experience as a leader and mentor on a data science team.
Additional Information Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Compensation ranges from $143,300 to $247,600 per year based on geographic market and depends on job-related knowledge, skills, and experience. Additional compensation may include equity, sign‑on payments, and other benefits. For more information, 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.
Job ID: A3127083
#J-18808-Ljbffr
Sr. Data Scientist, Books Ads, Amazon Books Ads Science
role at
Amazon
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.
Key responsibilities
Participate in end‑to‑end Machine Learning projects that have a high degree of 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 machine learning models, perform proof‑of‑concept, experiment, optimize, and deploy models into production; work closely with software engineers to assist in productionizing 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.
Qualifications 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 using AWS QuickSight, Tableau, R Shiny, etc.
Experience managing data pipelines.
Experience as a leader and mentor on a data science team.
Additional Information Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Compensation ranges from $143,300 to $247,600 per year based on geographic market and depends on job-related knowledge, skills, and experience. Additional compensation may include equity, sign‑on payments, and other benefits. For more information, 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.
Job ID: A3127083
#J-18808-Ljbffr