The Amazon Advertising Measurement team is looking for a research scientist to join our team to lead the development of statistical methods for ad measurement and optimization on social advertising for mass campaigns. This person in this role will be responsible for solving measurement and attribution problems to measure the effectiveness of advertising across channels and onsite . The successful candidate will be a daring hands-on self-starter, comfortable with ambiguity, humble to seek feedback and learn from junior team members, bold to think big, has solid attention to detail and believes in challenging himself to raise the bar continuously.
What you will own?
The incumbent will be responsible for inventing new approaches to measure and optimize the global marketing spend on fixed and variable channels and on Amazon.com.
What you will influence?
The incumbent will influence models developed to measure and compare performance of offline, online and social channels in combination.
Build econometric models required to retrospectively measure the financial impact of marketing spend, and inform volume and mix of future spend
Ensuring that state of the art statistical methods and machine learning technology are deployed to measure effectiveness of video advertising on social media
Work closely with both business units and engineering teams to formulate measurement problems and associated technical solution strategies
Develop a library of measurement, decision making and machine learning algorithms to enable data-driven decision making
Support engineering teams to build tools and applications on our unique big data platform to efficiently generate and deploy insights into decision-making systems at Amazon
Raise the bar on applications of machine learning for advertising measurement and optimization