Applied Scientist, Amazon Advertising

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The 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! As an Applied Scientist on this team, you will : Contribute to Machine Learning efforts within the team and across other teams. Perform analysis and modeling of large data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. Drive end-to-end Machine Learning projects with high ambiguity, scale, and complexity. Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy models into production; collaborate with software engineers for production deployment. Run A/B experiments, gather data, and perform statistical analysis. Establish scalable, efficient, automated processes for data analysis, model development, validation, and serving. Research new and innovative machine learning approaches. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers advertising products that drive discovery and sales, generating billions in revenue and supporting long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions and millions of clicks daily, continuously innovating to create world-class products. Our team is highly motivated, collaborative, and entrepreneurial, with a broad mandate to experiment and innovate. Impact and Career Growth: You will create new experiences and influence customer-facing shopping experiences to help suppliers grow their retail businesses and optimize auction dynamics leveraging native advertising. This role offers the opportunity to work within Amazon’s fastest-growing sectors. You will define a long-term science vision for our advertising business, translating customer needs into research and product strategies. This role combines scientific leadership, organizational skills, technical expertise, product focus, and business acumen. Team video BASIC QUALIFICATIONS 3+ years of experience building machine learning models for business applications PhD or Master’s degree with 6+ years of applied research experience Programming experience in Java, C++, Python, or related languages Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc. Experience with large-scale distributed systems such as Hadoop, Spark, etc. Amazon is an equal opportunity employer and values diversity. We do not discriminate based on veteran status, disability, or other protected classes. Our inclusive culture empowers Amazonians to deliver the best results for our customers.

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