Amazon Applied Scientist Shopbop Catalog Engineering 

United States, Wisconsin, Madison 

326456428

Key job responsibilities
- Identify the right models and mechanisms to use to solve ambiguous science problems
- Build development plans to launch new science features
- Oversee work of peer SDEs on science initiatives
- Develop critical path code for critical science features
- Align senior leadership and developers on approach
A day in the life
You start your day reviewing an issue with higher that normal variance on a demand prediction pipeline, you identify there may be a data problem and make a note to raise with the DE team. You then go heads down to work on a new pipeline for Product Categorization, focusing on code you need to demo after standup. Post standup you and a peer TPM lead a discussion on some key tradeoffs and get alignment on next steps. You end the day working with DE, they've found the data bug and will get a fix in.

- 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 neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.