
Website Amazon
Job Description:
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.
Job Responsibilities:
- 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
- Track general business activity and provide clear, compelling management reporting on a regular basis
- Research and implement novel machine learning and statistical approaches
- 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
- Use machine learning, NLP and statistical techniques to create scalable solutions for business problems
- Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations
Job Requirements:
- 1+ year distributed programming experience
- 4 years of hands-on experience in predictive modeling and large data analysis
- PhD or Masters in Computer Science Machine Learning/NLP, Statistics, or in a highly quantitative field
- Proven record of delivering results
- Strong communication and data presentation skills
- 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
- 1+ years of experience with Python
- Strong problem solving ability
- Strong skills with Python and Java
- 1+ years of experience using R/SAS and SQL in a Linux/UNIX environment
Job Details:
Company: Amazon
Vacancy Type: Full Time
Job Location: Seattle, WA, US
Application Deadline: N/A
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