Applied Science Manager, Modeled Measurement

Are you ready to revolutionize the advertising industry by spearheading privacysafe modeled measurements for ads Were seeking a leader with deep technical expertise to lead modeled measurements to help provide advertisers with insights on the effectiveness of their ads in guiding customers from awareness to purchases. As the Applied Science Manager for our Modeled Measurement team youll be at the forefront of measurement science driving innovation and elevating industry standards. Your role will bridge cuttingedge scientific research with largescale implementation. If youre passionate about pushing the boundaries of ad measurement while prioritizing user privacy this is your opportunity to make a significant impact on the future of digital advertising at Amazon.

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.


Key job responsibilities
As the leader of Modeled Measurement science team you will be responsible for setting the vision and execution of privacy safe modeled measurement solutions based on cuttingedge technologies. 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 measurement solutions that support highly accurate and actionable insights. You will solve hard problems advance science at Amazon and be the leading innovator in privacysafe modeled measurement solutions. 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.

4 years of applied research experience
3 years of scientists or machine learning engineers management experience
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Knowledge of ML NLP Information Retrieval and Analytics
Experience programming in Java C Python or related language
Experience in causal inference from RCT experiment design and analysis to ML design and implementation

Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
Experience in causal measurement within advertising highly preferred both in RCT experiment design and analysis and in ML model design and implementation.

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 $165500/year in our lowest geographic market up to $286000/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.