Applied Scientist

Job description

DESCRIPTION

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.

Major responsibilities
· Use statistics, NLP and machine learning techniques to create scalable solutions for business problems
· Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes
· Design, experiment and evaluate highly innovative models for predictive learning
· Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations
· Work closely with business staff to optimize various business operations
· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
· Track general business activity and provide clear, compelling management reporting on a regular basis
· Research and implement novel machine learning and statistical approaches

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Desired profile

BASIC QUALIFICATIONS

· A PhD in CS Machine Learning/NLP, Statistics, or in a highly quantitative field
· 3+ 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