Overview

Do you want to join an innovative team of scientists who invent and apply the most advanced machine learning, NLP and machine translation techniques to create the best customer engagement experience on the earth? Do you want to revolutionize the way how customers solve their issues and got their questions answered? Do you want to help enabling any Amazon associates to aid any Amazon customers no matter what language they speak? At Customer Engagement Technology, we develop peculiar products that help customers solve problems. Our team leads the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have more than anyone else in the industry. We innovate on behalf of customers, developing Bot, self-service, and associate-facing products that delight customers and support our world class customer service workforce. We leverage big data, NLP, ML, and a focus on continuous innovation to create an amazing experience for customers as we scale to meet business growth each year.
If you like to own solving end-to-end business problems with machine learning which would have a direct impact on the bottom line of Amazon’s business while improving customer experience, if you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team.

We are looking for an Applied Science manager who combines exceptional technical, research and analytical capabilities to build and lead a team that will be integral to the continued improvement of chat bot and Machine Translation models at Customer Engagement Technology department. As an Applied Science Manager, you will be responsible for the design, development, testing, and deployment of algorithms and improvements, to revolutionize the way how customers solve their issues and got their questions answered and to enable any Amazon associates to aid any Amazon customers no matter what language they speak.

This Involves
Manage the design, development and evaluation of innovative, scalable models and algorithms;
Project manage cross-functional projects;
Lead team of applied scientists to manage the integration of successful models and algorithms in complex, real-time production systems at very large scale;
Science leadership for technology and vision roadmaps;
Identify best practices/latest machine learning models across Amazon and in the industry;
Communicate effectively with senior management as well as with colleagues from business, science, and engineering backgrounds;
Support the career development of your team members.
The successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, demonstrated experience in people management, excellent project management skills, great communication skills, and the motivation to achieve results in a fast-paced environment. This is a high-visibility role managing a team of scientists working collaboratively with engineers and product managers. You’ll be responsible for developing science roadmaps, staffing plans and developing your team.

Company:

Amazon

Qualifications:

Basic Qualifications
A PhD in CS Machine Learning/NLP, Statistics, or in a highly quantitative field
5+ years of hands-on experience in predictive modeling and large data analysis
1+ years of experience using R/SAS and SQL in a Linux/UNIX environment
1+ years of experience with Python
Strong communication and data presentation skills
Strong problem solving ability
Preferred Qualifications
Experienced with NLP, NLU, Machine Translation methods and Deep Neural Networks
8+ years of industry experience in predictive modeling and large data analysis
Proven record of delivering results
Strong skills with Python and Java
1+ year distributed programming experience
Ability to work on a diverse team or with a diverse range of coworkers

Educational level:

Ph. D.

Level of experience (years):

Senior (5+ years of experience)

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