Amazon Applied Scientist Detail Page Allocation & Pricing 

United States, New York, New York 

953299099

As an Applied Scientist for the Sponsored Products Detail Page Allocation and Pricing team, you will develop systems that make the final decision on which ads to show, where to place them on the page, how many ads to place and how to price them. This also includes selection of various themes that would appear in detail pages. This is a challenging technical and business problem that requires us to balance the interests of shoppers, advertisers, and Amazon. In this role, you will work on real-time algorithms to allocate billions of ads per day using advertising auctions. You will develop data-driven product strategies based on quantitative measures of shopper impact and use internet scale experimentation to evaluate decisions and opportunities. You will balance a portfolio of pragmatic and long-term investments that drive the ads and retail businesses.Key job responsibilities- 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.
- Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.
- Research new machine learning approaches.

- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- 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
- Have publications at top-tier peer-reviewed conferences or journals