Job Description

DESCRIPTION

Job summary
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. 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!

Excited about the future of brand-centric advertising and shopping on Amazon? Want to bring the best, emerging, and trending brands to shoppers, while driving strong value to brands? Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. 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 and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and 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.

Brand Advertising & Shopping Experience (BASE) org is looking for an Applied Scientist with experience in developing and productizing state-of-the-art predictive algorithms. Our goal is to create personalized engaging shopping experiences with a suite of Brand Shopping Experience products (e.g., Stores, Posts and Brand Follow) that will incentivize brands' discovery and the creation of customer-brand relationships.

You will focus on the exciting science problems in Amazon Brand Stores. The value that Stores provides to customers is the ability to browse and discover new and best-selling products curated by their favorite brands, while aiding with discovery of new brands. The Amazon Brand Stores program is becoming increasingly important and is at a strategic intersection between advertising and retail. We provide a compelling destination for brand advertising campaigns, and also enable stores to be organically discovered through the Amazon shopping journey. We operate sophisticated front-end, API and big data technologies across all of Amazon, and we partner with teams across Amazon retail, advertisement, marketplace and core shopping. Millions of shoppers enjoy and interact with our products. Our team is a startup-minded, energetic and passionate group of scientists and engineers who care deeply about building amazing products that shoppers as well as brands love. We are curious about new technologies, collaborative, agile, and customer centric.

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.
• Research, build, test, and deploy low latency machine learning components into production. You will be owner of the solutions that you create. And these solutions will drive engagement metrics that will directly impact our customers' shopping experiences, while generating increased brand awareness and customer-brand relationships.
• 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 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.

Team video https://youtu.be/zD_6Lzw8raE

Key job responsibilities
The Shopping Experiences Applied Science team (within BASE) builds end-to-end recommendations systems for organic content in the Amazon Advertising org. Our team owns research, development and deployment into production of statistical and machine learning algorithms for automatic insight generation, content selection and content ranking to incentivize Brand discovery and to foster Brand-Customer relationships.

Our scientists analyze data, generate insights, and develop statistical and machine learning models to optimize business metrics such as customer engagement, Brand discovery metrics, Brand loyalty metrics, and conversion rates. They design, develop and deploy into production relevance and engagement models, contextual multiarm bandits, and other components to optimize for diversity and engagement. They leverage computer vision algorithms to evaluate content quality and performance.

BASIC QUALIFICATIONS

• PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
• 2+ years of experience of building machine learning models for business application
• Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

• Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
• Published research work in academic conferences or industry circles.
• Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
• Effective verbal and written communication skills with non-technical and technical audiences.
• Experience working with large real-world data sets and building scalable models from big data.
• Thinks strategically, but stays on top of tactical execution.
• Exhibits excellent business judgment; balances business, product, and technology very well.
• Experience in computational advertising.

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.