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Description

Are you ready to revolutionize the advertising industry by spearheading privacy-safe modeled measurements for ads? We're 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, you'll be at the forefront of measurement science, driving innovation and elevating industry standards. Your role will bridge cutting-edge scientific research with large-scale implementation. If you're 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 cutting-edge 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 cutting-edge 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 full-funnel 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 cutting-edge 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 privacy-safe modeled measurement solutions. 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 experience

- 3+ years of scientists or machine learning engineers management experience

- 3+ years of building machine learning models for business application experience

- PhD, or Master's 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

Preferred Qualifications

- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.