Applied Science Manager, Amazon Digital Advertising

Lead a team of scientists who measure what mattersthe real-world impact of Amazons marketing at billion-dollar scale. Amazon Advertising is one of Amazons fastest growing lines of business and our team occupies a unique position focused on maximizing the success of Amazons own marketing programs using our ad tech. Amazon marketing is Customer Zero for our ad tech and our measurement science team is focused on quantifying the impact of the marketing that drives customers to discover and engage with Amazons products and services. We turn petabytes of retail streaming and customer signals into causal insights that make Amazons marketing spend smarter and more effective. As Customer Zero we also extend the impact of methodologies measurement systems and insights we generate for Amazons marketing to directly inform the products and services we offer to external advertisers shaping the tools that power the broader Amazon Ads ecosystem. This is a growth role for a successful candidate that is energized by building high-performing teams tackling causal inference challenges that dont have textbook answers and shipping science that improves both Amazons own marketing and the advertising products used by the worlds largest brands.

Dozens of Amazon businesses use Amazons ad tech for their marketing objectives driving more than $1B of marketing investments through Ads services and tools. As part of our team this role will lead a cross-functional science team to measure the impact of Amazons marketing and identify opportunities for optimization at scale. You will set the strategic direction for your team drive initiatives to make smarter marketing decisions and improve the relevance of advertising to our customers. We move away from industry standard measurement systems and build sophisticated and insightful decision engines. We enable massive advertising programs generating billions of impressions decorated with rich representations of customer state. The major challenges we are solving include integrating petabyte-scale distributed retail systems into a singular service to synthesize e-commerce data into measurement and optimization models. The successful candidate will have a strong technical background in ML and causal inference experience with large scale data ML models high judgment to drive business impact an appreciation for white-space and success building and developing high-performing teams.


Key job responsibilities
Lead hire mentor and develop a team of scientists and engineers fostering a culture of innovation scientific rigor and operational excellence.
Set the technical vision and roadmap for the teams measurement and modeling initiatives aligning with business priorities.
Partner with senior leadership to define measurement strategies and translate business needs into science roadmaps and deliverables.
Guide the team in applying ML statistics and econometrics to develop analyze and productionize prototype models.
Drive the design and analysis of large-scale online experiments to validate models and measure impact.
Foster collaboration across science teams through peer-review processes publishing research internally and at industry conferences.
Establish scalable efficient and automated processes for large-scale model development validation and implementation.


- PhD or Masters degree and 6 years of applied research experience
- 3 years of scientists or machine learning engineers management experience
- 4 years of applied research experience
- 3 years of building machine learning models for business application experience
- Knowledge of ML NLP Information Retrieval and Analytics
- Experience programming in Java C Python or related language

- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
- Experience communicating with users other technical teams and management to collect requirements describe software product features and technical designs
- Domain expertise in quantitative marketing or advertising measurement.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 202200.00 - 273600.00 USD annually
USA WA SEATTLE - 183800.00 - 248700.00 USD annually