Amazon Career 2020 Off Campus Drive Hiring As Freshers for Applied Scientist of Any Degree Graduates
Amazon Career 2020: Amazon.com strives to be Earth’s most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon’s evolution from a Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company’s DNA. The world’s brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.
Company Name: Amazon
Company Website: Amazon
Wikipedia: Amazon Wiki
Position: Applied Scientist Intern
Drive Location: Banglore
Experience Level: 0 – 3 Years
Degree Needed: B.E/B.Tech/B.Sc/BCA/M.Sc/MCA/M.E/M.Tech
Passout Batch: 2017/2018/2019
Package: Best In Industry
Latest Upcoming off Campus Drive: Apply ASAP
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Eligibility of Amzon Career 2020:
- Bachelor or Master Degree In Major Stream
- Experience in predictive modelling and analysis, predictive software development.
- Strong problem-solving ability
- Good skills with Java/Scala or C++, Perl/Python (or similar scripting language)
- Experience in using R, Matlab, or any other statistical software
- Strong communication and data presentation skills
Preferred Qualifications:
- Experience handling gigabyte and terabyte size datasets
- Experience working with distributed systems and grid computing
- Knowledge of the latest and state of the art ML technology.
- Publications or presentation in recognized Machine Learning and Data Mining journals/conferences
Major Responsibilities:
- Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems
- Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
- Design, develop and evaluate highly innovative models for predictive learning
- Establish scalable, efficient, automated processes for large scale data analyses model development, model validation and model implementation
- Research and implement novel machine learning and statistical approaches
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