Job Description

DESCRIPTION

Amazon's Global XCM organization (Cross-Category, Cross-Channel Marketing) is looking for a talented Economist who is interested in solving one of the most challenging business problems in marketing measurement and optimization, and developing ML model. XCM’s mission is to be the most culturally and contextually aware, creatively breakthrough, and measurably effective marketing organization in the world.

In this role, you will pioneer real-time marketing measurement and optimization solutions by combining causal inference with advanced ML models. You'll leverage Amazon's customer behavior data and external datasets to build scalable solutions, while partnering with marketing stakeholders and product teams to translate business needs into actionable insights. Your expertise in causal inference and machine learning will be crucial in enhancing customer engagement and marketing effectiveness across Amazon's global marketing ecosystem.

Key job responsibilities
- Design and implement advanced causal inference and machine learning solutions for marketing measurement and optimization;
- Transform complex business requirements into technical questions
- Translate model outputs to actionable insights through close collaboration with marketing stakeholders and product teams;
- Work with product and engineering teams to deploy the model into automation system

BASIC QUALIFICATIONS

PhD in economics or equivalent
Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS

Job Tags

Full time,

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