Applied Scientist Advertising Measurement Ad Measurements Science
Applied Scientist Advertising Measurement Ad Measurements Science
Posted on :
01-05-2025
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1 Vacancy
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Job Description
The Measurement Ad Tech and Data Science (MADS) team at Amazon Ads is at the forefront of developing cuttingedge solutions that help our tens of millions of advertisers understand the value of their ad spend while prioritizing customer privacy and measurement quality. We develop cuttingedge deterministic algorithms machine learning models causal models and statistical approaches to empower advertisers with insights on the effectiveness of their ads in guiding customers from awareness to purchases. Our insights help advertisers build fullfunnel advertising strategies. We maximize the information we extract from incomplete traffic signals and alternative sources to capture the impact of their ad spending for both Amazon recognized and anonymous traffic. Our vision is to lead the industry in extracting and combining information from several sources to enable advertisers to optimize their return on their ad spend.
As an Applied Scientist on this team you will:
Drive endtoend Machine Learning projects that have a high degree of ambiguity scale complexity.
Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
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.
Why you will love this opportunity: Amazon is investing heavily in building a worldclass 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 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
Key job responsibilities
* Lead the development of ad measurement models and solutions that address the full spectrum of an advertisers investment focusing on scalable and efficient methodologies.
* Collaborate closely with crossfunctional teams including engineering product management and business teams to define and implement measurement solutions.
* Use stateoftheart scientific technologies including Generative AI Classical Machine Learning Causal Inference Natural Language Processing and Computer Vision to develop cuttingedge models that measure the impact of ad spend across multiple platforms and timescales.
* Drive experimentation and the continuous improvement of ML models through iterative development testing and optimization.
* Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
* Mentor and guide junior scientists fostering a collaborative and highperforming team culture.
* Foster collaborations between scientists to move faster with broader impact.
* Regularly engage with the broader scientific community with presentations publications and patents.
A day in the life
You will solve realworld problems by getting and analyzing large amounts of data generate business insights and opportunities design simulations and experiments and develop statistical and ML models. The team is driven by business needs which requires collaboration with other Scientists Engineers and Product Managers across the advertising organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Team video 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 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 $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 on this team you will:
Drive endtoend Machine Learning projects that have a high degree of ambiguity scale complexity.
Perform handson analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
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.
Why you will love this opportunity: Amazon is investing heavily in building a worldclass 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 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
Key job responsibilities
* Lead the development of ad measurement models and solutions that address the full spectrum of an advertisers investment focusing on scalable and efficient methodologies.
* Collaborate closely with crossfunctional teams including engineering product management and business teams to define and implement measurement solutions.
* Use stateoftheart scientific technologies including Generative AI Classical Machine Learning Causal Inference Natural Language Processing and Computer Vision to develop cuttingedge models that measure the impact of ad spend across multiple platforms and timescales.
* Drive experimentation and the continuous improvement of ML models through iterative development testing and optimization.
* Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
* Mentor and guide junior scientists fostering a collaborative and highperforming team culture.
* Foster collaborations between scientists to move faster with broader impact.
* Regularly engage with the broader scientific community with presentations publications and patents.
A day in the life
You will solve realworld problems by getting and analyzing large amounts of data generate business insights and opportunities design simulations and experiments and develop statistical and ML models. The team is driven by business needs which requires collaboration with other Scientists Engineers and Product Managers across the advertising organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Team video 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 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 $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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