Amazon Advertising is looking to solve the problem of driving discovery and sales through its advertising products, specifically Sponsored Products (SP), which aims to help merchants, retail vendors, and brand owners succeed via native advertising. The goal is to increase incremental sales of their products sold through Amazon, help shoppers discover new products, and be the most efficient way for advertisers to meet their business objectives.
Requirements
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Experience implementing algorithms using both toolkits and self-developed code
Responsibilities
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Perform hands-on analysis and modeling of enormous 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 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.
- 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.
- Recruit Applied Scientists to the team and provide mentorship.
Other
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Have publications at top-tier peer-reviewed conferences or journals
- This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
- 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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
