Applied Scientist Customer - Advertiser Success Insights Amazon Advertising
Applied Scientist Customer - Advertiser Success Insights Amazon Advertising
Posted on :
09-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
Amazon Advertising is one of Amazons 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 longterm growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Customer Advertiser Success & Insights (CASI) team is seeking an Applied Scientist to help increase the effectiveness of online advertising. You will leverage computer vision generative AI natural language processing casual inference and machine learning to enhance the customer experience with online advertising. In this role you will collaborate closely with business leaders stakeholders and crossfunctional teams to drive success for our customers through datadriven solutions.
This is an excellent opportunity for a technicallyminded individual to make a tangible impact on the online advertising landscape. The role offers the chance to work with stateoftheart technologies and contribute to the evolution of a rapidly changing industry.
Key job responsibilities
As an Applied Scientist in CASI you will:
> Shape the science roadmap for CASI fostering a culture of datadriven decisionmaking.
> Deliver significant business impact through advanced ML models generative AI and cuttingedge causal inference methodologies.
> Produce and deliver models that help drive bestinclass customer experiences and build systems that allow us to deploy these models to production with low latency and high throughput.
> Collaborate with crossfunctional teams including software engineers data scientists and product managers to define project requirements establish success metrics and deliver highquality solutions.
> Research new and innovative machine learning approaches.
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 in patents or publications at toptier peerreviewed conferences or journals
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
Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
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.
The Customer Advertiser Success & Insights (CASI) team is seeking an Applied Scientist to help increase the effectiveness of online advertising. You will leverage computer vision generative AI natural language processing casual inference and machine learning to enhance the customer experience with online advertising. In this role you will collaborate closely with business leaders stakeholders and crossfunctional teams to drive success for our customers through datadriven solutions.
This is an excellent opportunity for a technicallyminded individual to make a tangible impact on the online advertising landscape. The role offers the chance to work with stateoftheart technologies and contribute to the evolution of a rapidly changing industry.
Key job responsibilities
As an Applied Scientist in CASI you will:
> Shape the science roadmap for CASI fostering a culture of datadriven decisionmaking.
> Deliver significant business impact through advanced ML models generative AI and cuttingedge causal inference methodologies.
> Produce and deliver models that help drive bestinclass customer experiences and build systems that allow us to deploy these models to production with low latency and high throughput.
> Collaborate with crossfunctional teams including software engineers data scientists and product managers to define project requirements establish success metrics and deliver highquality solutions.
> Research new and innovative machine learning approaches.
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 in patents or publications at toptier peerreviewed conferences or journals
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
Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
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
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