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 worldclass products. We are highly motivated collaborative and funloving 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 OSSR team is responsible for all nonsearch supply and associated experiences.
As an Applied Scientist on our Amazon Retail Ad Service (RAS) team you will be responsible for defining the science and technical strategy for one of our most impactful strategic initiatives creating lasting value for Amazon and our advertising customers.
Key job responsibilities Support business science and engineering strategy and roadmap for Sponsored Products OSSR projects Drive alignment across organizations for science engineering and product strategy to achieve business goals Lead/guide 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.
About the team Sponsored Products (SP) is Amazons largest and fastest growing business. Over the last few years we grown to a multibillion dollar business. SP ads are shown prominently throughout search and detail pages allowing shoppers to seamlessly discover products sold on Amazon. Ad experience and market place is one of the highest impact decisions we make. This role has unparalleled opportunity to grow our marketplace and deliver value for advertisers and shoppers.
3 years of building models for business application experience PhD or Masters degree and 4 years of CS CE ML or related field experience Experience programming in Java C Python or related language Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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