As a multi-functional team of experts, we deliver scaled solutions that are used globally across AWS Marketing. 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. We love data and believe that we can use it to deliver epic experiences for our millions of prospect customers. About the team We refuse to accept constraints, internal or external, and have a strong bias for action. 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.
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Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Mentorship & Career Growth Our team is dedicated to supporting new members. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
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We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. 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. Work/Life Balance Our team puts a high value on work-life balance. 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.
We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are committed to furthering our culture of inclusion. Inclusive Team Culture Here at AWS, we embrace our differences. You will advance the state of the art in recommender engines, rapid experimentation at scale, and marketing science.
Your work will be a key input into a few of our S-Team goals. 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. 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. 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 lead strategic AI/ML and experimentation initiatives across AWS Marketing & Sales ranging anywhere between recommender engines, scaling experimentation and measurement science, real-time inference, and cross-channel orchestration.
We are looking for a Principal Applied Scientist with expertise in recommender engines, content ranking and rapid experimentation at scale, with strong interest in building scalable solutions in partnership with our engineering organization. We work globally as a central team and establish standards, benchmarks, and best practices for use throughout AWS Marketing. 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. 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.
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