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Sr. Research Scientist, Alexa Machine Learning

Sr. Research Scientist, Alexa Machine Learning

Job ID 
531127
Location 
US-WA-Seattle
Posted Date 
5/2/2017
Company 
Amazon Corporate LLC
Position Category 
Research Science
Recruiting Team 
..

Job Description

Are you experienced at analyzing and modeling data to provide scientific guidance to the business? Are you excited by working with massive amount of data to solve real-world problems for Alexa? We love metrics and quantitative analysis. Alexa Machine Learning Platform is looking for top research scientists capable of using statistical, mathematical or predictive models, Big Data analytic, and Machine Learning to improve the customer experience.

As a Research Scientist of Alexa Machine Learning Platform, you will be responsible for leading the initiatives to develop highly accurate natural language understanding components by leveraging massive datasets. These initiatives will significantly impact the developers who build Alexa Skills and ultimately the end customers of Alexa.

Key Responsibilities
  • Define and implement statistical methods to solve specific business problems.
  • Work closely with Software Engineers to determine how to test, deploy and measure new model features.
  • Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
  • Directly contribute to the design and development of unsupervised learning to create an automated feedback loop and scoring systems
  • Build customer-facing reporting tools to provide insights and metrics which track Alexa trends and explain variance.
  • Collaborate with software developers and business leaders to define product requirements, provide analytical support, consultation and communicate feedback.

Basic Qualifications

  • Master in Engineering, Mathematics, Economics, Statistics or related field
  • 6+ years relevant experience in statistical or predictive modeling and analysis.
  • Experience with machine learning, data mining, and analytic techniques
  • Experience in using R, Python, SAS, Matlab or other statistical/machine learning software.
  • Experience with data visualization and presentation, turning complex analysis into insight
  • Knowledge and experience of SQL (Oracle, MySQL, or PostgreSQL) and AWS RedShift

Preferred Qualifications

  • PhD in Engineering, Mathematics, Economics, Statistics or related field
  • Expert in writing and tuning SQL scripts
  • Previous experience with statistical and/or Machine Learning modeling is a huge plus, e.g. Maximum Entropy Modeling.
  • Previous experience in a Machine Learning or data scientist role with a large technology company
  • Knowledge of scripting for automation (e.g. Python, Ruby, Java)
  • Experience with AWS features (S3, Redshift) is a plus
  • Experience with NoSQL is strong plus.
  • Excellent communication, analytical and collaborative problem-solving skills
  • Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic environment.