Principal Applied Scientist APM Stores
Principal Applied Scientist APM Stores
Posted on :
27-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 179000 - 309400
Vacancy
1 Vacancy
Posted on :
27-04-2025
Job Description
Our team drives innovation for the onsite retail shopping site publisher. We collaborate and influence the advertising science community at Amazon across the entire Ads stack sourcing and ranking ads bidding into and pricing in the ads auction experimentation design to measure causal impact of showing ads on shoppers and Amazon vendors creative development with GenAI and more. If youre interested in joining a unique highly respected advertising group with a relentless focus on the customer youve come to the right place. As we continue building to out our team we are looking for a Principal Applied Scientist to lead research design experiment and implementation of cutting edge algorithms for complex Stores Display publisher use cases. You will collaborate with Amazon demand programs and frontend teams to influence how the entire advertising stack works endtoend. You will work with business and finance teams to design experiments that inform tradeoffs across advertiser and shopper goals. You will work collaboratively with software engineers data engineers and other scientists on the team to deploy production algorithms that support the billions of ad auctions run daily and set a high bar for science and engineering excellence. This is a rare opportunity to be a foundational member with huge potential for impact and innovating new user experiences at Amazon.
Why you will love this opportunity: Despite being part of a large business we embrace a startup mentality. This is an opportunity for massive impact and affords a lot of autonomy.
Impact and Career Growth: You will invent new experiences and influence customerfacing 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 fastestgrowing businesses across all of Amazon! Define a longterm 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.
Key job responsibilities
As a Principal Applied Scientist on this team you will:
Be the technical science leader on the org; leading efforts within the team and across other teams.
Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and retail merchandise sales without compromising the shopper experience.
Drive endtoend Machine Learning projects that have a high degree of ambiguity scale complexity.
Build machine learning models perform proofofconcept 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 largescale data analysis machinelearning model development model validation and serving.
Research new and innovative machine learning approaches.
Recruit Applied Scientists to the team and provide mentorship.
About the team
Amazon Advertising operates at the intersection of eCommerce and advertising offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on some of the most valued advertising real estate on the internet on the store. We start with the customer and work backwards in everything we do including advertising.
* 10 years of building models for business application experience or applied research in industry settings
* PhD or Masters degree in CS Statistics ML or related fields
* Experience programming in Python or related language
* Experience in any of the following areas: algorithms and data structures optimal control numerical optimization data mining parallel and distributed computing highperformance computing
* Advertising domain knowledge or experience with causal inference in multisided markets
* GenAI and LLM experience a plus
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 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 $179000/year in our lowest geographic market up to $309400/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.
Why you will love this opportunity: Despite being part of a large business we embrace a startup mentality. This is an opportunity for massive impact and affords a lot of autonomy.
Impact and Career Growth: You will invent new experiences and influence customerfacing 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 fastestgrowing businesses across all of Amazon! Define a longterm 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.
Key job responsibilities
As a Principal Applied Scientist on this team you will:
Be the technical science leader on the org; leading efforts within the team and across other teams.
Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and retail merchandise sales without compromising the shopper experience.
Drive endtoend Machine Learning projects that have a high degree of ambiguity scale complexity.
Build machine learning models perform proofofconcept 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 largescale data analysis machinelearning model development model validation and serving.
Research new and innovative machine learning approaches.
Recruit Applied Scientists to the team and provide mentorship.
About the team
Amazon Advertising operates at the intersection of eCommerce and advertising offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on some of the most valued advertising real estate on the internet on the store. We start with the customer and work backwards in everything we do including advertising.
* 10 years of building models for business application experience or applied research in industry settings
* PhD or Masters degree in CS Statistics ML or related fields
* Experience programming in Python or related language
* Experience in any of the following areas: algorithms and data structures optimal control numerical optimization data mining parallel and distributed computing highperformance computing
* Advertising domain knowledge or experience with causal inference in multisided markets
* GenAI and LLM experience a plus
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 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 $179000/year in our lowest geographic market up to $309400/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.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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