Applied Scientist, Sponsored Products, Applied Scientist, Sponsored Products
Applied Scientist, Sponsored Products, Applied Scientist, Sponsored Products
Posted on :
30-07-2025
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1 Vacancy
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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. As a core product offering within our advertising portfolio Sponsored Products (SP) helps merchants retail vendors and brand owners succeed via native advertising which grows incremental sales of their products sold through Amazon. The SP teams primary goals are to help shoppers discover new products they love be the most efficient way for advertisers to meet their business objectives and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
Basic qualifications:
* PhD degree with 4 years of applied research experience or a Masters degree and 6 years of experience of applied research experience
* 3 years of experience in building machine learning models for business application
* Experience programming in Java C Python or related language
Preferred qualifications:
* Advanced degree in Computer Science Mathematics Statistics Economics or related quantitative field.
* Published research work in academic conferences or industry circles.
* Experience in building large-scale machine-learning models and infra for online recommendation ads ranking personalization or search etc.
* Technical leadership in machine learning.
* Effective verbal and written communication skills with non-technical and technical audiences.
* Experience working with real-world data sets and building scalable models from big data.
* Thinks strategically but stays on top of tactical execution.
* Exhibits excellent business judgment; balances business product and technology very well.
* Experience in computational advertising.
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create world-class products. We are a highly motivated collaborative and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customer-facing 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 fastest-growing businesses across all of Amazon! Define a long-term 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 Senior Applied Scientist on this team you will:
* Be the technical leader in AI and Machine Learning; lead efforts within this team and across other teams.
* Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
* Drive end-to-end Machine Learning projects that have a high degree of ambiguity scale complexity.
* Build machine learning models perform proof-of-concept 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 large-scale data analysis machine-learning model development model validation and serving.
* Research new and innovative machine learning approaches.
* Recruit Applied Scientists to the team and provide mentorship.
- 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 high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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.
Basic qualifications:
* PhD degree with 4 years of applied research experience or a Masters degree and 6 years of experience of applied research experience
* 3 years of experience in building machine learning models for business application
* Experience programming in Java C Python or related language
Preferred qualifications:
* Advanced degree in Computer Science Mathematics Statistics Economics or related quantitative field.
* Published research work in academic conferences or industry circles.
* Experience in building large-scale machine-learning models and infra for online recommendation ads ranking personalization or search etc.
* Technical leadership in machine learning.
* Effective verbal and written communication skills with non-technical and technical audiences.
* Experience working with real-world data sets and building scalable models from big data.
* Thinks strategically but stays on top of tactical execution.
* Exhibits excellent business judgment; balances business product and technology very well.
* Experience in computational advertising.
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazons Retail and Marketplace businesses. We deliver billions of ad impressions millions of clicks daily and break fresh ground to create world-class products. We are a highly motivated collaborative and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customer-facing 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 fastest-growing businesses across all of Amazon! Define a long-term 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 Senior Applied Scientist on this team you will:
* Be the technical leader in AI and Machine Learning; lead efforts within this team and across other teams.
* Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
* Drive end-to-end Machine Learning projects that have a high degree of ambiguity scale complexity.
* Build machine learning models perform proof-of-concept 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 large-scale data analysis machine-learning model development model validation and serving.
* Research new and innovative machine learning approaches.
* Recruit Applied Scientists to the team and provide mentorship.
- 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 high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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.
Employment Type
Full-Time
Key Skills
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