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Research Scientist– Amazon, Bangalore (3+ years of experience)

Want to work on cutting edge analytics, which impacts the business immediately? Here is a chance to work in a role which requires you to design, build and implement innovative machine learning algorithms for the biggest eCommerce player – Amazon!

Designation – Research Scientist

Location – Bangalore

About employer Amazon


  • Research and implement machine learning and statistical techniques to create scalable and effective models in fraud detection systems
  • Deep data analysis to solve business problems and to identify business opportunities in the areas of online goods transactions, Digital products, Kindle contents and application, Web Services and application, Marketplace.
  • Design, development and evaluation of highly innovative machine learning models for big data.
  • Analyzing and understanding large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities
  • Working closely with software engineering teams to drive real-time model implementations and new feature creations
  • Working closely with Operation teams to optimize operation cost and efficiency.
  • Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Tracking critical business activities and providing clear, compelling management reports on a regular basis

Qualification and Skills Required:

Basic Qualifications:

  • MS in Computer Science, Statistics, Operational Research or in a highly quantitative field
  • 3+ years of hands-on experience in predictive modeling and large data analysis
  • 3+ years SAS/R/Matlab and/or SQL/Hive/Pig experience
  • Good communication and presentation skills
  • Excellent problem solving abilities

Preferred Qualifications:

  • A Ph.D. in Computer Science, Statistics, Operational Research or in a highly quantitative field
  • 3+ years of industry experience in predictive modeling and large data analysis
  • Strong SAS and/or R skills
  • Good familiarity with Perl, Python (or similar scripting language) and Java/C++
  • Familiarity with Hadoop/MapReduce

Interested candidates can apply for this job at this PAGE.

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