Amazon
Applied Science Manager, Advertising Incrementality Measurement
Job ID: 2890607 | Amazon.com Services LLCDo 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, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation? If so, come join Amazon Ads to lead our Advertising Incrementality Measurement science team!Key job responsibilities
As the leader of Advertising Incrementality Measurement (AIM) science team, you are responsible for defining and executing on our causal measurement science vision. You will lead teams of Applied Scientists, Economists, and Data Scientists to work backwards from customer needs and translate product ideas into concrete deliverables. You will be the thought leader for inventing scalable causal measurement solutions that support highly accurate and actionable causal insights--from defining and executing hundreds of thousands of RCTs, to building and scaling Deep Neural Nets and other leading ML models. You will solve hard problems, advance science at Amazon, and be the 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 industry-leading partner scientists. Your team’s work will help shape the future of Amazon Advertising.BASIC QUALIFICATIONS
4+ years of applied research experience3+ years of scientists or machine learning engineers management experience3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceKnowledge of ML, NLP, Information Retrieval and AnalyticsExperience programming in Java, C++, Python or related languageExperience in causal inference, from RCT experiment design and analysis, to ML design and implementationPREFERRED QUALIFICATIONS
Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customersExperience in causal measurement within advertising highly preferred, both in RCT experiment design and analysis, and in ML model design and implementation.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
Accommodations
for more information.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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
employee benefits .
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Job ID: 2890607 | Amazon.com Services LLCDo 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, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation? If so, come join Amazon Ads to lead our Advertising Incrementality Measurement science team!Key job responsibilities
As the leader of Advertising Incrementality Measurement (AIM) science team, you are responsible for defining and executing on our causal measurement science vision. You will lead teams of Applied Scientists, Economists, and Data Scientists to work backwards from customer needs and translate product ideas into concrete deliverables. You will be the thought leader for inventing scalable causal measurement solutions that support highly accurate and actionable causal insights--from defining and executing hundreds of thousands of RCTs, to building and scaling Deep Neural Nets and other leading ML models. You will solve hard problems, advance science at Amazon, and be the 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 industry-leading partner scientists. Your team’s work will help shape the future of Amazon Advertising.BASIC QUALIFICATIONS
4+ years of applied research experience3+ years of scientists or machine learning engineers management experience3+ years of building machine learning models for business application experiencePhD, or Master's degree and 6+ years of applied research experienceKnowledge of ML, NLP, Information Retrieval and AnalyticsExperience programming in Java, C++, Python or related languageExperience in causal inference, from RCT experiment design and analysis, to ML design and implementationPREFERRED QUALIFICATIONS
Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customersExperience in causal measurement within advertising highly preferred, both in RCT experiment design and analysis, and in ML model design and implementation.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
Accommodations
for more information.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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
employee benefits .
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