Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Detail Page Discovery Experiences team is chartered with inventing and building engaging product recommendation experiences in Amazon Product Detail Pages. We push the innovation frontiers for our hundreds of millions of customers WW to aid product discovery while helping shoppers to find relevant products easily. Our team is building differentiated recommendations and utilizing cutting-edge machine learning techniques in the domain of natural language processing (NLP) and Transformer, deep learning, reinforcement learning, and Generative AI to provide delightful shopping experiences and deliver significant impact for the business.
We are looking for an Applied Scientist who can delight our customers by continually learning and inventing. Our ideal candidate is an experienced Applied Scientist who has a track-record of performing deep analysis and is passionate about applying advanced ML and statistical techniques to solve real-world, ambiguous and complex challenges to optimize and improve the product performance, and who is motivated to achieve results in a fast-paced environment. The position offers an exceptional opportunity to grow your technical and non-technical skills and make a real difference to the Amazon Advertising business.
As an Applied Scientist in the Blended Widgets team, you will:
* Conduct hands-on data analysis, and run regular A/B experiments, gather data, perform statistical analysis and deep dive, and communicate the impact to senior management
* Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgment
* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
* Collaborate with software engineering teams to integrate successful experimental results into large-scale, highly complex Amazon production systems
* Promote the culture of experimentation and applied science at Amazon
Team video https://youtu.be/zD_6Lzw8raE
We are also open to consider the candidate in New York, or Seattle.
The Detail Page Discovery Experiences team is chartered with inventing and building engaging product recommendation experiences in Amazon Product Detail Pages. We push the innovation frontiers for our hundreds of millions of customers WW to aid product discovery while helping shoppers to find relevant products easily. Our team is building differentiated recommendations and utilizing cutting-edge machine learning techniques in the domain of natural language processing (NLP) and Transformer, deep learning, reinforcement learning, and Generative AI to provide delightful shopping experiences and deliver significant impact for the business.
We are looking for an Applied Scientist who can delight our customers by continually learning and inventing. Our ideal candidate is an experienced Applied Scientist who has a track-record of performing deep analysis and is passionate about applying advanced ML and statistical techniques to solve real-world, ambiguous and complex challenges to optimize and improve the product performance, and who is motivated to achieve results in a fast-paced environment. The position offers an exceptional opportunity to grow your technical and non-technical skills and make a real difference to the Amazon Advertising business.
As an Applied Scientist in the Blended Widgets team, you will:
* Conduct hands-on data analysis, and run regular A/B experiments, gather data, perform statistical analysis and deep dive, and communicate the impact to senior management
* Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgment
* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
* Collaborate with software engineering teams to integrate successful experimental results into large-scale, highly complex Amazon production systems
* Promote the culture of experimentation and applied science at Amazon
Team video https://youtu.be/zD_6Lzw8raE
We are also open to consider the candidate in New York, or Seattle.
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