Sr Data Scientist - NLP

Job ID: 1031270 | Amazon.com Services LLC

DESCRIPTION

Would you like to pioneer new technologies in natural language processing, machine translation and machine learning?
As an applied scientist, you will develop novel algorithms and modeling techniques to remove language as a barrier to global communication. Your work will help Amazon raise the bar on customer obsession by always communicating with our customers in their preferred language. You will be able to leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in computer generated natural language translation.

We are looking for a passionate, talented, and inventive Scientist with a strong machine learning background to join us to build industry-leading Speech and Language technology.
Position Responsibilities:
· Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for written language applications
· Research and implement novel ML and statistical approaches which add value to Amazon
· Lead and Mentor junior engineers and scientists
· Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in written language engineering

BASIC QUALIFICATIONS

· Masters in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
· 6+ years of experience working in data science in a consumer product company
· 3+ years of experience managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and/or Economists
· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
· Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
· Experience hiring and leading experienced scientists as well as a successful record of developing junior members to a successful career track
· Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

PREFERRED QUALIFICATIONS

· A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
· 10+ years of experience working in data science in a consumer product company
· Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval
· Skilled with Java, C++, or other programming language, as well as with R, SAS, MATLAB, Python or similar scripting language
· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
· Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes