Applied Scientist - NLP and Machine Learning

Job description

DESCRIPTION

We are looking for an experienced Applied Scientist to lead NLP projects and other Machine Learning efforts in Human Resource Services Solutions (HRSS) at Amazon.

The successful candidate will have the passion to tackle tough problems by bringing cutting edge Machine Learning/Natural Language Processing/Deep Learning technologies to the business, have experience working cross-functionally to formalize problem definitions from ambiguous requirements, and lead the science team to develop consumer-grade products. They will have experience interacting with a large number of internal stakeholders and be able to communicate clearly and effectively to all levels of the company, both in writing and in meetings.

If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast-paced environment working within a smart and passionate team, this might be the role for you. As part of Data and Analytics Services team within HRSS, you will develop novel algorithms and modeling techniques to leverage the state-of-the-art NLP/ML technology. Your work will directly impact the world’s most effective workforce in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, technologies, and large-scale computing resources.

In this role you will:
· Work collaboratively with economists, scientists and developers to design and implement automated, scalable NLP/ML/analytical models to stakeholders and analyze data to answer challenging HR questions
· Drive scalable solutions from the business, to prototyping, production testing and through engineering directly to production.
· Drive best practices on the team, deal with ambiguity and competing objectives, and mentor and guide junior members to achieve their career growth potential

Desired profile

BASIC QUALIFICATIONS

· M.S. in Computer Science, Operations Research, Computational Economics, Statistics, Applied Mathematics, or a related field with at least 3 years of work experience
· Experience in designing and building Natural Language Processing and Machine Learning system (sentiment analysis, contact reason classification, etc.)
· Solid Natural Language and Machine Learning background
· Proficiency in at least one of the following programming languages: Python, R, Java, C++