Applied Scientist, Customer Engagement Tech

Amazon

Seattle, WA, USA

Full-time

Nov 5

This job is no longer accepting applications.

DESCRIPTION

Job summary

Do you want to join an innovative team of scientists who invent and apply the most advanced machine learning, NLP and conversational AI techniques to create the best customer engagement experience on the earth? Do you want to revolutionize the way customers solve their issues and get their questions answered? Do you want to break language barriers so that Amazon customers can interact seamlessly with customer service? At Customer Engagement Technology, we develop specialized 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 innovate on behalf of customers, developing chat 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 solve end-to-end business problems with machine learning and have a direct impact on the bottom line of Amazon’s business, if you love to innovate, discover knowledge from big structured and unstructured data and deliver cutting-edge technology that creates superior customer experience, then we want you on our team.


Major responsibilities:

· Use machine learning, NLP and statistical 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

BASIC QUALIFICATIONS

· PhD or Masters in Computer Science Machine Learning/NLP, Statistics, or in a highly quantitative field

· 4 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, dialog models and information retrieval methods and Deep Neural Networks

· 5+ 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

· Strong publication record in top-tier machine learning conferences and journals.


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit https://www.amazon.jobs/en/disability/us .




Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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