Manager, Data Science, Outbound Communications

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About this role

Manager, Data Science, Outbound Communications Seattle, Washington, USA Are you passionate about using data science and machine learning to optimize how hundreds of millions of customers experience communications from the world's most customer-centric company? Join the Outbound Communications Intelligence team at Amazon, where you will lead the development of scalable/robust advanced AI based methods like LLMs and RL to personalize the relevance, frequency and timing of messages across push, email, WhatsApp, and SMS channels reaching 250M+ global customers every week. You will lead the insights arm to build highly accurate and world-class self-service analytics solutions that guide the short- and long-term investments for the business. Key job responsibilities You will lead applied scientists, data scientists and business intelligence engineers to: - Optimize Outbound's inbox management and planning system to personalize frequency, send-time and relevance bar of our messages to customers. - Design and execute large-scale experiments such as multi-arm elasticity tests or RCTs to measure and improve incrementality/performance of our models. - Drive development of HVA propensity models (opt-out, purchase, etc.) to drive intended behavior of customers to their next stage of shopping and engagement with Amazon. - Drive AI-based transformation in data accuracy and reporting: migrating and enhancing the self-serve analytics capabilities developed by the team, automating WBR preparation, building anomaly detection, etc. - Own financial planning frameworks for outbound performance including QxG/HVE forecasting and ROI measurement for paid channel investments. In addition, you will: - Hire, develop, and mentor scientists and BIEs while partnering cross-functionally with engineering, product,

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