This position can be located in Seattle, New York, and Los Angeles or Santa Monica locations.

Amazon’s physical owned and operated assets like the fleet, packages, and lockers drive billions of impressions each year that reach hundreds of millions of people. Project Chariot's mission is to transform these assets into the biggest, most loved out of home media channel in the world, helping Amazon win hearts and minds (perceptions) and change customer behaviors (high value actions) for our most important programs and offerings. This Data Scientist will help measure the upper funnel perception impact of this new marketing campaigns using causal inference techniques, so that Amazon can continue to delight customers by serving the right creative at the right time. You will sit in a blended Data and Engineering team serving Global Fixed Marketing teams.

We are a team with broad reach tackling issues that have never been solved before, which brings the opportunity to invent and make an outsized impact with your work. We have deep partnerships with other science organizations at Amazon, and leverage partnerships to drive adoption of our tools across a very broad audience.



Key job responsibilities
1. Use statistical and machine learning techniques to measure the causal impact of marketing campaigns on customer's perception;
2. Design, build, test, and deploy measurement models using ML techniques on big data end-to-end, using the latest AWS technologies.
3. Advocate for the right channel experimental design to influence long term product roadmaps.
4. Advise senior leadership, both tech and non-tech, on channel strategy and implications of model design decisions.