At Amazon, we strive every day to be Earth’s most customer centric company.
Selling Partner Support Engagement (SPSE) Science delivers on this by building
AI-enhanced experiences and automation that help to provide world class support
to our global network of selling partners. We building at the forefront of Gen
AI applications, working to tackle the many challenges that we confront caused
by the volume, diversity, and complexity of our selling partner's needs… and we
are always striving to do better.
Do you want to join an innovative team who creatively applies techniques ranging
from statistics and traditional machine learning to deep learning, natural
language processing, and generative models? A team that drives our flywheel of
improvement by hunting down opportunities to do better that are buried in tens
of millions of solved cases? Are you interested in helping us redefine what
world class support can be in an age of automation and AI, while prizing human
empathy and ingenuity?
The SPSE Science Team is looking for an Applied Scientist to build statistical
and machine learning solutions that help us understand and solve our most
challenging problems. We need to better understand our Sellers and the problems
they face, to augment our human workforce with smarter tools, to anticipate
problems so that we are prepared to deal with them, to automatically diagnose
and resolve issues, and to identify opportunities to grow and improve.
In this role, you will have ownership of the end-to-end development of solutions
to complex problems and you will play an integral role in strategic
decision-making. You will also work closely with engineers, operations teams,
product owners to build ML pipelines, platforms and solutions that solve
problems of defect detection, automation, and workforce optimization.
