Sr Applied Scientist Advertising Incrementality Measurement
Sr Applied Scientist Advertising Incrementality Measurement
Posted on :
15-03-2025
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1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Do you want to lead the Ads industry and redefine how we measure the effectiveness of the WW Amazon Ads business Are you passionate about causal inference Deep Learning/DNN raising the science bar and connecting leadingedge science research to Amazonscale implementation If so come join Amazon Ads to be an Applied Science leader within our Advertising Incrementality Measurement science team!
Key job responsibilities
As an Applied Science leader within the Advertising Incrementality Measurement (AIM) science team you are responsible for defining and executing on key workstreams within our overall causal measurement science vision. In particular you will lead the science development of our Deep Neural Net (DNN) ML model a foundational ML model to understand the impact of individual ad touchpoints for billions of daily ad touchpoints. You will work on a team of Applied Scientists Economists and Data Scientists to work backwards from customer needs and translate product ideas into concrete science deliverables. You will be a thought leader for inventing scalable causal measurement solutions that support highly accurate and actionable causal insightsfrom defining and executing hundreds of thousands of RCTs to developing an exciting science R&D agenda. You will solve hard problems advance science at Amazon and be a leading innovator in the causal measurement of advertising effectiveness. In this role you will work with a team of applied scientists economists engineers product managers and UX designers to define and build the future of advertising causal measurement. You will be working with massive data a dedicated engineering team and industryleading partner scientists. Your teams work will help shape the future of Amazon Advertising.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
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 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
As an Applied Science leader within the Advertising Incrementality Measurement (AIM) science team you are responsible for defining and executing on key workstreams within our overall causal measurement science vision. In particular you will lead the science development of our Deep Neural Net (DNN) ML model a foundational ML model to understand the impact of individual ad touchpoints for billions of daily ad touchpoints. You will work on a team of Applied Scientists Economists and Data Scientists to work backwards from customer needs and translate product ideas into concrete science deliverables. You will be a thought leader for inventing scalable causal measurement solutions that support highly accurate and actionable causal insightsfrom defining and executing hundreds of thousands of RCTs to developing an exciting science R&D agenda. You will solve hard problems advance science at Amazon and be a leading innovator in the causal measurement of advertising effectiveness. In this role you will work with a team of applied scientists economists engineers product managers and UX designers to define and build the future of advertising causal measurement. You will be working with massive data a dedicated engineering team and industryleading partner scientists. Your teams work will help shape the future of Amazon Advertising.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
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 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 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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