The Advertising Incrementality Measurement (AIM) team is looking for an Applied Scientist II with experience in causal inference, experimentation, and ML development to help us expand our causal modeling solutions for understanding advertising effectiveness. Our work is foundational to providing customer-facing experimentation tools, furthering internal research & development, and building out Amazon's new Multi-Touch Attribution (MTA) measurement offerings. Incrementality measurement is a lynchpin for the next generation of Amazon Advertising measurement solutions and this role will play a key role in the release and expansion of these offerings.
Key job responsibilities
* Partner with economists and senior team members to drive science improvements and implement technical solutions at the state-of-the-art of machine learning and econometrics
* Partner with engineering and other science collaborators to design, implement, prototype, deploy, and maintain large-scale causal ML models.
* Carry out in-depth research and analysis exploring advertising-related data sets, including large sets of real-world experimental data, to understand advertiser behavior, highlight model improvement opportunities, and understand shortcomings and limitations.
* Define data quality standards for understanding typical behavior, capturing outliers, and detecting model performance issues.
* Work with product stakeholders to help improve our ability to provide quality measurement of advertising effectiveness for our customers.
About the team
AIM is a cross disciplinary team of engineers, product managers, economists, data scientists, and applied scientists with a charter to build scientifically-rigorous causal inference methodologies at scale. Our job is to help customers cut through the noise of the modern advertising landscape and understand what actions, behaviors, and strategies actually have a real, measurable impact on key outcomes. The data we produce becomes the effective ground truth for advertisers and partners making decisions affecting $10s to $100s of millions in advertising spend.
