Data Scientist Amazon
Seattle, WA

Job Description

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, dynamic and driven people to develop the next-generation technologies. Amazon Legal Technologies is an innovative and high-energy team that supports Amazon's legal operations worldwide. We focus on creating easy to use, highly secure, ingenious solutions that allow our business to efficiently scale for the future. We are looking for a smart, creative, and results-oriented Data Scientist who is excited by unique challenges and is passionate about using the latest technologies to solve customers' needs. This is an excellent opportunity for a growth position with a high level of ownership in a small, growing team.

We are seeking a Data Scientist to own, design and create innovative new solutions that allow the Legal department to scale and improve customer service. This is a strategic role to shape and deliver NLP and Machine Learning solutions to our hardest customer facing problems. These initiatives are at the heart of the organization and recognized as the innovations that will allow us to build a differentiated product that exceeds customer expectations. You are an ideal candidate if you can multi-task, quickly adapt to new development environments, learn new systems, create reliable/maintainable code, and find creative and scalable solutions to difficult problems. Candidates applying to this position should be enthusiastic about sharing their previous experiences and lessons with our team to help us collectively succeed.

More about this project - while we are building smart applications that makes life easy for our customers, we have large number of documents we don't have much information about. It blocks our customers to easily and efficiently discover information and action items. Our small, result oriented data lens team will work on classification of documents, extracting entities and action items from them using Text Mining. We will use Natural Language Processing and Machine Learning to mine information from unstructured data spread across millions of documents. Few key problems -

* Recovering different type of documents from document stores and make them available to related applications.
* Extract metadata and entities from documents to make them searchable and tag them in related applications.
* Extract key information, clauses, and action items from different documents based on their type.
* Handle security aspect of all documents and make sure same is propagated when updating other applications.
* Set up data pipeline to enable our customers to train extraction model by providing training data, test model and launch them to be used in production for future needs.

If you enjoy iterating quickly, testing new ideas, and are passionate about providing a great user experience, we would love to hear from you!