Data Scientist, Alexa AI

Amazon is looking for a passionate talented and inventive Data Scientist with machine learning
background to help build industry-leading Speech and Language technology.
Our mission is to provide a delightful experience to Amazons customers by pushing the envelope in
Automatic Speech Recognition (ASR) Natural Language Understanding (NLU) Machine Learning (ML).

Key job responsibilities

Key job responsibilities
Amazon is looking for a passionate talented and inventive Data Scientist with machine learning background to help build industry-leading Speech and Language technology.
Our mission is to provide a delightful experience to Amazons customers by pushing the envelope in Automatic Speech Recognition (ASR) Natural Language Understanding (NLU) Machine Learning (ML) and Computer Vision (CV).
As part of our AI team in Amazon AWS you will work alongside internationally recognized experts to develop data experiments novel algorithms and data techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazons heterogeneous speech text and structured data sources and large-scale computing resources to accelerate advances in spoken language understanding.


- 1 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 2 years of data/research scientist statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)

- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of statistical packages and business intelligence tools such as SPSS SAS S-PLUS or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- Experience working with or evaluating AI systems
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication

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