Manager, Data Science, Outbound Communications

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, marketing, and partner science teams (CBA, P13N, CFV) to productionize solutions at scale.
- Create, align and evolve your team's roadmap by prioritizing across multiple competing priorities using high judgement decisions.