Principal Applied Scientist, Amazon Publisher Monetization - Prime Video Ads
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Summary
About the Role
About You
- 5+ years of hands-on work in predictive modeling and analysis experience.
- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
- Experience programming in Java, C++, Python or related language.
- Experience distilling informal customer requirements into problem definitions.
- 10+ years of relevant work in industry or academia experience.
- Knowledge of problem solving, algorithm design and complexity analysis.
- Experience creating novel algorithms and advancing the state of the art.
- Peer-reviewed scientific contributions in premier journals and conferences.
Benefits
- Comprehensive health insurance (medical, dental, vision, prescription).
- 401(k) matching.
- Paid time off and parental leave.
- Sign-on payments and restricted stock units (RSUs).
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.