Data Scientist, Alexa AI

Department Icon Data Science Analytics & Machine Learning
Posted: 2 weeks ago
1-3 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 29 Nov 2026

Posted: 2 weeks ago
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Job Description

Description

  • 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.

Basic Qualifications

  • 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)

Preferred Qualifications

  • 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner.

Company - ADCI - Karnataka

Job ID: A10516477

Skills

Big DataPythonData ProcessingMachine LearningSpssData ScientistAnalystAiMlSqlComputer VisionSpeech Recognition

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About Company

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon.
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