Applied Scientist Detail Page Allocation Pricing
Applied Scientist Detail Page Allocation Pricing
Posted on :
09-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Amazon is building a world class advertising business and defining and delivering a collection of selfservice 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 worldclass products. We are highly motivated collaborative and funloving 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 develop systems which make the final decision on which ads to show where to place them on the page and how many ads to place. This also includes selection of various themes that would appear in detail pages. This is a challenging technical and business problem which requires us to balance the interests of advertisers shoppers and Amazon. Youll develop a datadriven product strategy to define the right quantitative measures of shopper impact using this to evaluate decisions and opportunities. Youll balance a portfolio of pragmatic and longterm investments to drive long term growth of the ads and retail businesses. Youll develop realtime algorithms to allocate billions of ads per day in advertising auctions.
Impact and Career Growth:
In this role you will have significant impact on this team as well as drive cross team projects that consist of Applied Scientists Data Scientists 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!
Why you love this opportunity:
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of selfservice 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 worldclass products. We are highly motivated collaborative and funloving 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.
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 largescale data analysis machinelearning model development model validation and serving.
Work closely with software engineers on detailed requirements technical designs and implementation of endtoend solutions in production.
Research new machine learning approaches.
About the team
Sponsored 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 ultralow latency highvolume engineering systems and quantitative product focus. Our systems and algorithms operate on one of the worlds 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.
3 years of building models for business application experience
PhD or Masters 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 highperformance computing
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.
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 youre applying in isnt 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
As an Applied Scientist for the Sponsored Products Detail Page Allocation and Pricing team you develop systems which make the final decision on which ads to show where to place them on the page and how many ads to place. This also includes selection of various themes that would appear in detail pages. This is a challenging technical and business problem which requires us to balance the interests of advertisers shoppers and Amazon. Youll develop a datadriven product strategy to define the right quantitative measures of shopper impact using this to evaluate decisions and opportunities. Youll balance a portfolio of pragmatic and longterm investments to drive long term growth of the ads and retail businesses. Youll develop realtime algorithms to allocate billions of ads per day in advertising auctions.
Impact and Career Growth:
In this role you will have significant impact on this team as well as drive cross team projects that consist of Applied Scientists Data Scientists 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!
Why you love this opportunity:
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of selfservice 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 worldclass products. We are highly motivated collaborative and funloving 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.
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 largescale data analysis machinelearning model development model validation and serving.
Work closely with software engineers on detailed requirements technical designs and implementation of endtoend solutions in production.
Research new machine learning approaches.
About the team
Sponsored 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 ultralow latency highvolume engineering systems and quantitative product focus. Our systems and algorithms operate on one of the worlds 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.
3 years of building models for business application experience
PhD or Masters 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 highperformance computing
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.
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 youre applying in isnt 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
