Applied Scientist, Detail Page Allocation & Pricing - Amazon : Job Details

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DescriptionAmazon is building a world class advertising business by defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. 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.

DescriptionAmazon is building a world class advertising business by defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. 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.As an Applied Scientist for the Sponsored Products Detail Page Allocation and Pricing team, you will develop systems that make the final decision on which ads to show, where to place them on the page, how many ads to place and how to price them. This also includes selection of various themes that would appear in detail pages. This is a challenging technical and business problem that requires us to balance the interests of shoppers, advertisers, and Amazon. In this role, you will work on real-time algorithms to allocate billions of ads per day using advertising auctions. You will develop data-driven product strategies based on quantitative measures of shopper impact and use internet scale experimentation to evaluate decisions and opportunities. You will balance a portfolio of pragmatic and long-term investments that drive the ads and retail businesses.Impact And Career GrowthIn this role you will have significant impact on this team as well as drive cross team projects that consist of Applied Scientists, Product Managers, Economists, and Software Development Engineers. This is a highly visible role that will help take our products to the next level. You will work alongside many of the best and brightest science and engineering talent and the work you deliver will have a direct impact on customers and revenue!Team video ~ Key job responsibilities

• Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.
• 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.
• Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.
• Research new machine learning approaches.

About The TeamSponsored Products helps merchants, retail vendors, and brand owners succeed via native advertising that grows incremental sales of their products sold through Amazon. The Sponsored Products Ad Marketplace organization optimizes the systems and ad placements to match advertiser demand with publisher supply using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. Our goals are to help buyers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and to build a major, sustainable business that helps Amazon continuously innovate on behalf of all customers.Basic Qualifications

• Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Experience programming in Java, C++, Python or related language
• Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred Qualifications

• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A3001272

Seniority level

• Seniority levelNot Applicable

Employment type

• Employment typeFull-time

Job function

• Job functionResearch, Science, and Engineering
• IndustriesSoftware Development

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