Data Scientist, Alexa AI
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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 Amazon's 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 Amazon's 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 Amazon's 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
- Master's 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
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Job ID: 153239611
Skills:
Hue, Sql, S3, Quicksight, Hadoop, Tableau, Power Bi, Microsoft Excel, Python, Amazon Redshift, Cloudera Data Platform, Microsoft Copilot Studio, R
Skills:
Machine Learning, Pandas, Pytorch, MySQL, Flask, Azure, Sql, Python, Deep Learning, scikit-learn
Skills:
Scipy, Fortran, Sql, Google Cloud, Numpy, Pandas, Pytorch, Spark, Azure, Python, AWS, Airflow, MLflow, Scikit-Learn, DVC, Jupyter, ETL pipelines
Skills:
Azure, Sql, AWS, Statistical Modelling, Python, Gcp, ML algorithms
Skills:
Tensorflow, Django, MLops, Gcp, Pytorch, Docker, Flask, Azure, Kubernetes, Python, AWS, LLM Transformer Expertise, Generative AI, Hugging Face, Scikit-learn, Vector Databases
