Principal Applied Scientist, Amazon Ads, Sponsored Products
DESCRIPTION
Amazon continues to invest heavily in building our world class advertising business. 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, breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and strong 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.The Sponsored Products Detail Page Experience and Marketplace Intelligence team is responsible for the ads experience, as well as ad ranking, allocation and pricing of ads on Amazon product pages.
As a Principal Scientist on our team, you will be responsible for defining the science and technical strategy for one of our most impactful marketplace controls, creating lasting value for Amazon and our advertising customers.
Key job responsibilities
• Lead business, science and engineering strategy and roadmap for Sponsored Products Detail Page ad allocation, ranking, pricing, and whole page optimization when combing Ads and organic content on detail pages
• Drive alignment across organizations for science, engineering and product strategy to achieve business goals
• Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers
• Develop state of the art experimental approaches and ML models.
About the team
Sponsored Products (SP) is Amazon's largest and fastest growing business. Over the last few years we grown to a multi-billion dollar business. SP ads are shown prominently throughout search and detail pages, allowing shoppers to seamlessly discover products sold on Amazon. Ad experience and market place is one of the highest impact decisions we make. This role has unparalleled opportunity to grow our marketplace and deliver value for advertisers and shoppers.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Los Angeles, CA, USA | New York, NY, USA
BASIC QUALIFICATIONS
- 10+ years of building models and leading large science initiatives in marketplace, pricing and recommendation systems
- Deep knowledge in any of the following areas: combinatory optimization, deep learning, search/recommendation models, reinforcement learning
- Strong business acumen and product judgement
- PhD, or Master's degree and 10+ years of OR, CS, CE, ML or related field experience
PREFERRED QUALIFICATIONS
- More than three years of experience in Ads market place
- Experience in leading science heavy products at scale
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.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $159,100/year in our lowest geographic market up to $309,400/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.