Amazon Senior Applied Scientist Outbound Communications 

United States, Washington, Seattle 

932594560

Key job responsibilities
As a Sr. Applied Scientist in Outbound, you will design and develop science models in a highly ambiguous message-management domain that handles scheduling and dispatch decisions of 100s of millions of messages everyday. These models will decide what messages we send to customers, at what times, and through what channels to optimize the long-term customer engagement. You will research and apply state of the art modeling methods such as reinforcement learning, bandits, neural networks, causal modeling methods and LLMs to optimize the message selection, timing and channel of communication for customers. At the crux of architecting these models is influencing the software design of the new message management service responsible to send these messages to customers in span of minutes from when a customer takes actions on-site. You will partner closely with the software engineering and product managers to come up with an ideal design of science architecture that considers design tradeoffs in context of software constraints and user requirements. You will design and analyze experiments that enable quick iteration of model development and learnings as Outbound’s message-management service evolves. You will present scientific findings to senior leaders; and technical, business and product stakeholders to guide for decisions that maximize benefits for Amazon in the long-run. You will mentor junior scientists in the team. You will coordinate with broader Amazon science teams to align your research and scientific design choices with the broader Amazon’s customer objectives. You will document and publish your research-driven artifacts to influence the scientific community in and outside of Amazon.

- PhD and 4+ years, or Master's degree and 8+ years of industry experience in a quantitative discipline.
- 4+ years of experience investigating the feasibility of applying scientific principles and concepts to business problems.
- 4+ years of experience with advanced machine learning methods such as neural networks, reinforcement learning, natural language processing.
- 4+ years of experience with programming languages such as python, C++, Java.
- 4+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- 2+ years of experience communicating findings and details of quantitative research methods to non-quantitative audience

- 2+ years of experience with discrete and continuous optimization methodologies and algorithms
- 2+ years of experience working in software system design.