Senior Applied Scientist Brand Shopping Experiences
Senior Applied Scientist Brand Shopping Experiences
Posted on :
07-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
07-04-2025
Job Description
Brand Stores (such as www.amazon/lego) are a core product offering in the Amazon Advertising portfolio. The brands store is their dedicated place on Amazon to differentiate grow sales and build loyalty with millions of shoppers. Our mission is to empower brands of all sizes to tell their story in their own unique voice to consumers. We help brands create engaging shopping experiences that assist shoppers in discovering and evaluating them as part of purchase decisions. We succeed when we are both useful to shoppers and when brands can attract and retain shoppers attention using our products. A cool case study on brand stores can be found here: https://advertising.amazon/library/casestudies/nespressobrandstoreincreasesshopperengagement.
We are looking for a Senior Applied Scientist to lead the generation of data driven insights that bring long term value to brands as well as the ideation and creation of ranking models for brand content. In this role you will influence our teams science and business strategy with your analyses. You will be expected to identify and solve ambiguous problems and science deficiencies and to provide informed solutions based on state of the art machine learning research.
Why you will love this opportunity: Amazon is investing heavily in building a worldclass advertising business. This team collaborate closely with other advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive longterm growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create worldclass products. We are a highly motivated collaborative and funloving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.
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.
Team video https://youtu.be/zD6Lzw8raE
#adptbrandshoppingexperiencesscience
Key job responsibilities
As a Senior Applied Scientist on this team you will:
Be the technical leader in Machine Learning; lead efforts within this team and across other teams.
Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and 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
The Brand Shopping Experience Science and Analytics Team develops and deploys into production Machine Learning Algorithms that quantify relevance select and organize Brands pieces of content in different placements in Amazon. Our goal is to create engaging and enjoyable shopping experiences that incentivize Brand discovery and that foster BrandCustomer relationships.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Knowledge of programming languages such as C/C Python Java or Perl
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Experience with large scale distributed systems such as Hadoop Spark etc.
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 https://amazon.jobs/content/en/howwehire/accommodations 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 $150400/year in our lowest geographic market up to $260000/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 https://www.aboutamazon/workplace/employeebenefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are looking for a Senior Applied Scientist to lead the generation of data driven insights that bring long term value to brands as well as the ideation and creation of ranking models for brand content. In this role you will influence our teams science and business strategy with your analyses. You will be expected to identify and solve ambiguous problems and science deficiencies and to provide informed solutions based on state of the art machine learning research.
Why you will love this opportunity: Amazon is investing heavily in building a worldclass advertising business. This team collaborate closely with other advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive longterm growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create worldclass products. We are a highly motivated collaborative and funloving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.
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.
Team video https://youtu.be/zD6Lzw8raE
#adptbrandshoppingexperiencesscience
Key job responsibilities
As a Senior Applied Scientist on this team you will:
Be the technical leader in Machine Learning; lead efforts within this team and across other teams.
Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and 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
The Brand Shopping Experience Science and Analytics Team develops and deploys into production Machine Learning Algorithms that quantify relevance select and organize Brands pieces of content in different placements in Amazon. Our goal is to create engaging and enjoyable shopping experiences that incentivize Brand discovery and that foster BrandCustomer relationships.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Knowledge of programming languages such as C/C Python Java or Perl
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Experience with large scale distributed systems such as Hadoop Spark etc.
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 https://amazon.jobs/content/en/howwehire/accommodations 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 $150400/year in our lowest geographic market up to $260000/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 https://www.aboutamazon/workplace/employeebenefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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