Applied Scientist, Brand Understanding Team

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!

Amazon Sponsored Product & Brands enable brands to build and maintain relationships with Amazon shoppers, enabling advertisers to reach shopper audiences based on their degree of familiarity with the brand and convert them into customers. The team helps customers discover product brands with creative ads that appear in relevant Amazon shopping results. The solutions focus on Advertiser and Brand growth and discovery through recommendations and innovative shopping experiences. These cost-per-click ads help drive awareness and ultimately sales. These Ads are above and within the search results and conversational shopping experiences, feature custom headline, logo and a set of products, Direct to the Amazon store, product listing and detail pages, and available on desktop and mobile.

The Brand Understanding team focuses on brand research and the understanding of query, shopper, and ASIN from a brand point of view. We advance brand understanding to facilitate better brand shopping and brand building - we do this through innovations in natural language processing, deep learning, graph science, and computer vision. We share those brand understanding signals through our brand data service to downstream teams across Amazon. We are the main science contributor to Sponsored Brands, a fast-growing ad product focusing on brand shopping and brand building experiences.

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 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

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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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