DESCRIPTION

Amazon continues to invest heavily in building our world class advertising business. 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, breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and strong 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. The Sponsored Products Monetization team is broadly responsible for pricing of ads on Amazon search pages, balancing short-term and long-term ad revenue growth to drive sustainable marketplace health.

As a Senior Applied Scientist on our team, you will be responsible for defining the science and technical strategy for one of our most impactful marketplace controls, creating lasting value for Amazon and our advertising customers. You will help to identify unique opportunities to create customized and delightful shopping experience for our growing marketplaces worldwide. Your job will be identify big opportunities for the team that can help to grow Sponsored Products business working with retail partner teams, Product managers, Software engineers and PMs. You will have opportunity to design, run and analyze A/B experiments to improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact. More importantly, you will have the opportunity to broaden your technical skills in an environment that thrives on creativity, experimentation, and product innovation.

Key job responsibilities
- Lead science, tech and business strategy and roadmap for Sponsored Products Monetization
- Drive alignment across multiple organizations for science, engineering and product strategy to achieve business goals
- Lead and mentor scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers
- Develop state of the art experimental approaches and ML models
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity
- 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 Scientists to the team and provide mentorship