Amazon Web Services (AWS) is building a world-class marketing organization that drives awareness and customer engagement with the goal of educating developers, IT and line-of-business professionals, startups, partners, and executive decision makers about AWS services and solutions, their benefits, and differentiation. As the central data and science organization in AWS Marketing, the Data: Science and Engineering (D:SE) team builds measurement products, AI/ML models for targeting, and self-service insights capabilities for AWS Marketing to drive better measurement and personalization, improve data access and analytical self-service, and empower strategic data-driven decisions. We work globally as a central team and establish standards, benchmarks, and best practices for use throughout AWS Marketing.We are looking for a Principal Applied Scientist with expertise in measurement science and rapid experimentation at scale, with strong interest in building scalable solutions in partnership with our engineering organization. You will lead strategic measurement and experimentation initiatives across AWS Marketing & Sales ranging anywhere between scaling causal models, experimentation tooling and measurement science, real-time inference, and cross-channel orchestration. You are an hands-on innovator who can contribute to advancing Marketing AI/ML and experimentation technology in a B2B environment, and push the limits on what's scientifically possible with a razor sharp focus on measurable customer and business impact.You will work with recognized B2B Marketing Science and AI/ML experts to develop large-scale, high-performing AI/ML models and rapid experimentation capabilities. We are at a pivotal moment in our organization where AI/ML, measurement and experimentation velocity has reached an unseen momentum, and we need to scale fast in order to maintain it. Your work will be a key input into a few of our S-Team goals. You will advance the state of the art in recommender engines, rapid experimentation at scale, and marketing science.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.About the teamWe refuse to accept constraints, internal or external, and have a strong bias for action. We love data and believe that we can use it to deliver epic experiences for our millions of prospect customers. We work across all areas of AWS Marketing including core marketing data solutions, insights and reporting, targeting and personalization, measurement, and the operational systems to support each of these areas. As a multi-functional team of experts, we deliver scaled solutions that a