Description

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Amazon's Sponsored Display Advertising program serves millions of personalized Ads every day. We buy Ad impressions in real-time auctions and algorithmically deliver the most relevant Ad. We delight in data, and are constantly working to enhance and improve our models. We relentlessly optimize to keep delivering the best possible Ads for our customers. We are growing at an unprecedented rate with a seemingly endless range of new opportunities. 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!

About our team:

Sponsored Display (SD) is Amazon Advertising’s self-service display advertising offering that empowers any advertiser – regardless of budget size, advertising experience, or technical expertise – to reach audiences across a variety of supply.

Our team is an Applied Science and Engineering team that is focused on improving demand quality. We help advertisers and brands unlock the power of display advertising through personalized guidance powered by our proprietary recommendations & insights. Our vision is to influence demand across all stages of a campaign (pre, post and during campaign creation) to drive sales, increase brand loyalty and build awareness.

As an Applied Scientist on this team, you will:

• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.

• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.

• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.

• Run A/B experiments, gather data, and perform statistical analysis.

• 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 Applied Scientists to the team and provide mentorship.

Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within one of the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.

Basic Qualifications

• 3+ years of building models for business application experience

• PhD, or Master's 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, high-performance computing

Preferred Qualifications

• 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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.