Data Scientist Amazon
Seattle, WA

Job Description

Amazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

We are seeking a Senior Data Scientist to join the Sponsored Products Supply& Verticals team. This team works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. Leveraging Amazon's massive data repository, our data scientists develop experiments, insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers.

In this role, you will:

* Perform hands-on data analysis and modeling with very large data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.
* Design and run regular A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.
* Apply machine learning and data mining techniques to improve the quality of our product ads.
* Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.
* Participate in shaping the vision of Sponsored Products on Amazon and drive high-visibility projects across Amazon's Search and Performance Advertising organizations.
* Lead and mentor junior data scientists and grow as a team leader.
* Be a member of the Amazon-wide Machine Learning Community, participating in internal and external Meetups, Hackathons and Conferences