Data Scientist Amazon Ads
Data Scientist Amazon Ads
Posted on :
15-03-2025
Employer Active
1 Vacancy
The job posting is outdated and position may be filled
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 125500 - 212800
Vacancy
1 Vacancy
Posted on :
15-03-2025
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!
We are seeking an experienced Data Scientist to drive innovation in our Creative Intelligence (CI) program. In this individual contributor role you will apply advanced machine learning techniques to improve advertiser creative performance and customer experience.
Key job responsibilities
As a Data Scientist on this team you will:
1. Develop and drive the science strategy for the Creative Intelligence (CI) program aligning it with the programs objectives and overall business goals.
2. Identify highimpact opportunities within the CI program and lead the ideation planning and of science initiatives to address them.
3. Build and deploy machine learning models using computer vision natural language processing and deep learning to analyze and enhance ad effectiveness.
4. Develop algorithms that extract meaningful signals from image video and audio content to predict and improve customer engagement
5. Leverage Amazons extensive data repository to create predictive models that generate actionable recommendations for more compelling ad creative
6. Collaborate with business leaders and crossfunctional teams to implement MLpowered solutions
7. Contribute to the ML roadmap for the CI program through innovation and research.
About the team
The Creative Intelligence team at Amazon Advertising is dedicated to revolutionizing how ads are created evaluated and optimized through the power of machine learning. Our mission is to build products that infuse creative decisions with datadriven insights to enhance customer experience and engagement.
We develop sophisticated ML models that analyze creative content to improve both customer experience and advertising performance.
Our AIpowered systems analyze multiple dimensions of ad creative including visual quality product presentation and brand messaging to predict an advertisements effectiveness enabling us to:
1 Help ad systems automatically select the most effective advertisements to show customers
2 Provide advertisers with actionable insights to improve their creative content
3 Ensure ads clearly demonstrate products create relatable scenarios and help customers make informed purchase decisions
By leveraging our expertise in creative best practices and customer insights we maintain the delicate balance between advertising effectiveness and customer experience ensuring that millions of customers see relevant highquality ads while helping advertisers maximize their creative impact.
3 years of data scientist experience
3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Familiarity with the digital advertising ecosystem including programmatic advertising ad serving technologies creative formats and metrics used to evaluate advertising effectiveness
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 $125500/year in our lowest geographic market up to $212800/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.
We are seeking an experienced Data Scientist to drive innovation in our Creative Intelligence (CI) program. In this individual contributor role you will apply advanced machine learning techniques to improve advertiser creative performance and customer experience.
Key job responsibilities
As a Data Scientist on this team you will:
1. Develop and drive the science strategy for the Creative Intelligence (CI) program aligning it with the programs objectives and overall business goals.
2. Identify highimpact opportunities within the CI program and lead the ideation planning and of science initiatives to address them.
3. Build and deploy machine learning models using computer vision natural language processing and deep learning to analyze and enhance ad effectiveness.
4. Develop algorithms that extract meaningful signals from image video and audio content to predict and improve customer engagement
5. Leverage Amazons extensive data repository to create predictive models that generate actionable recommendations for more compelling ad creative
6. Collaborate with business leaders and crossfunctional teams to implement MLpowered solutions
7. Contribute to the ML roadmap for the CI program through innovation and research.
About the team
The Creative Intelligence team at Amazon Advertising is dedicated to revolutionizing how ads are created evaluated and optimized through the power of machine learning. Our mission is to build products that infuse creative decisions with datadriven insights to enhance customer experience and engagement.
We develop sophisticated ML models that analyze creative content to improve both customer experience and advertising performance.
Our AIpowered systems analyze multiple dimensions of ad creative including visual quality product presentation and brand messaging to predict an advertisements effectiveness enabling us to:
1 Help ad systems automatically select the most effective advertisements to show customers
2 Provide advertisers with actionable insights to improve their creative content
3 Ensure ads clearly demonstrate products create relatable scenarios and help customers make informed purchase decisions
By leveraging our expertise in creative best practices and customer insights we maintain the delicate balance between advertising effectiveness and customer experience ensuring that millions of customers see relevant highquality ads while helping advertisers maximize their creative impact.
3 years of data scientist experience
3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Familiarity with the digital advertising ecosystem including programmatic advertising ad serving technologies creative formats and metrics used to evaluate advertising effectiveness
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 $125500/year in our lowest geographic market up to $212800/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
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
