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Amazon Senior Applied Scientist Optimal Sourcing Systems 
United States, New York, New York 
143930536

17.06.2024
DESCRIPTION

As a Senior Applied Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including optimization, causal inference, and machine learning/deep learning. Some critical research areas in our space include modeling buying decisions under high uncertainty, vendors' behavior and incentives, supply risk and enhancing visibility and reliability of inbound signals.Key job responsibilities
You will be a science tech leader for the team. As a Senior Applied Scientist you will:
- Set an example for other scientists with exemplary scientific analyses; maintainable, extensible, and well-tested code; and simple, intuitive, and effective solutions.
- Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.


BASIC QUALIFICATIONS

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with deep learning methods and machine learning