Applied Scientist II Advertising Incrementality Measurement
Applied Scientist II Advertising Incrementality Measurement
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
The Advertising Incrementality Measurement (AIM) team is looking for an Applied Scientist II with experience in causal inference experimentation and ML development to help us expand our causal modeling solutions for understanding advertising effectiveness. Our work is foundational to providing customerfacing experimentation tools furthering internal research & development and building out Amazons new MultiTouch Attribution (MTA) measurement offerings. Incrementality measurement is a pin for the next generation of Amazon Advertising measurement solutions and this role will play a key role in the release and expansion of these offerings.
Key job responsibilities
* Partner with economists and senior team members to drive science improvements and implement technical solutions at the stateoftheart of machine learning and econometrics
* Partner with engineering and other science collaborators to design implement prototype deploy and maintain largescale causal ML models.
* Carry out indepth research and analysis exploring advertisingrelated data sets including large sets of realworld experimental data to understand advertiser behavior highlight model improvement opportunities and understand shortcomings and limitations.
* Define data quality standards for understanding typical behavior capturing outliers and detecting model performance issues.
* Work with product stakeholders to help improve our ability to provide quality measurement of advertising effectiveness for our customers.
About the team
AIM is a cross disciplinary team of engineers product managers economists data scientists and applied scientists with a charter to build scientificallyrigorous causal inference methodologies at scale. Our job is to help customers cut through the noise of the modern advertising landscape and understand what actions behaviors and strategies actually have a real measurable impact on key outcomes. The data we produce becomes the effective ground truth for advertisers and partners making decisions affecting $10s to $100s of millions in advertising spend.
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 with ML modeling toolkits such as sklearn PyTorch Tensorflow etc.
Experience with data exploration and querying technologies such as pandas SQL and Spark.
Very strong written communication skills. An ideal candidate needs to be able to distill complex technical details into tangible insights for leaders and stakeholders.
Experience with causal inference A/B testing experimentation etc.
Experience with MLOps practices for developing models in a production setting.
Experience with causal ML modeling (e.g. double machine learning uplift modeling)
Familiarity with AWS systems (e.g. S3 EMR Sagemaker).
Experience with statistical visualization (e.g. ggplot2 plotly Seaborn).
Experience with digital advertising is a bonus but not required.
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 $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.
Key job responsibilities
* Partner with economists and senior team members to drive science improvements and implement technical solutions at the stateoftheart of machine learning and econometrics
* Partner with engineering and other science collaborators to design implement prototype deploy and maintain largescale causal ML models.
* Carry out indepth research and analysis exploring advertisingrelated data sets including large sets of realworld experimental data to understand advertiser behavior highlight model improvement opportunities and understand shortcomings and limitations.
* Define data quality standards for understanding typical behavior capturing outliers and detecting model performance issues.
* Work with product stakeholders to help improve our ability to provide quality measurement of advertising effectiveness for our customers.
About the team
AIM is a cross disciplinary team of engineers product managers economists data scientists and applied scientists with a charter to build scientificallyrigorous causal inference methodologies at scale. Our job is to help customers cut through the noise of the modern advertising landscape and understand what actions behaviors and strategies actually have a real measurable impact on key outcomes. The data we produce becomes the effective ground truth for advertisers and partners making decisions affecting $10s to $100s of millions in advertising spend.
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 with ML modeling toolkits such as sklearn PyTorch Tensorflow etc.
Experience with data exploration and querying technologies such as pandas SQL and Spark.
Very strong written communication skills. An ideal candidate needs to be able to distill complex technical details into tangible insights for leaders and stakeholders.
Experience with causal inference A/B testing experimentation etc.
Experience with MLOps practices for developing models in a production setting.
Experience with causal ML modeling (e.g. double machine learning uplift modeling)
Familiarity with AWS systems (e.g. S3 EMR Sagemaker).
Experience with statistical visualization (e.g. ggplot2 plotly Seaborn).
Experience with digital advertising is a bonus but not required.
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 $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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