The Marketing Measurement & Performance Support (MAPS) organization is looking for a Science Manager, interested in leading a team of Economists, Data Scientists and Applied Scientists in designing a measurement system to solve one of the most challenging business problems in marketing measurement. This exceptional leader will develop solutions combining experimental evidence, observational models and decision frameworks to redefine brand marketing measurement.
The MAPS organization's mission is to be the most trusted source of measurement science solutions to drive marketing investment decisions across Amazon. The MAPS team provides incrementality, efficiency measurement services and decision support to marketing stakeholders across Amazon's Stores suit of businesses. MAPS applies industry leading causal inference models and designs experiments to measure omni-channel effectiveness of marketing campaigns from these businesses worldwide. Our outputs shape Amazon product and marketing teams' decisions and therefore how Amazon customers see, use, and value their experience with Amazon.
As a Science Manager, you will lead a team of scientists to develop state-of-the-art models, while collaborating with other scientists, businesses, marketers, and software teams to solve key challenges facing the teams. Such challenges include measuring the incremental impact of multi-channel marketing portfolios, estimating the impact on long term inter-related customer actions, and scaling measurement solutions for WW marketplaces. Unlike many companies who buy existing off-the-shelf marketing measurement systems, we are responsible for studying, designing, and building systems to serve Amazon's suite of businesses. Our team members have an opportunity to be on the forefront of marketing measurement thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, economists and software developers in the business.
Key Job Responsibilities:
• In this role, you will be a people manager and a technical leader in Econometric research with significant scope, impact, and high visibility. • You will own developing the next generation of Causal Marketing-Mix-Media (MMM) models combining experimental evidence with observational econometric techniques. • Your solution will deliver to business leaders accurate and actionable incrementality estimates and recommendations to optimize their marketing portfolio. • As a successful Science Manager, you can navigate ambiguity, lead problem solving, guide development of new frameworks, and credibly interface between technical teams and business stakeholders. • You are an innovator who can push the limits on what's scientifically possible with a razor sharp focus on measurable business impact. • You will coach and guide scientists in your team across different job families including Economists, Data Scientists and Applied Scientists to grow the team's talent and scale the impact of your work.