Amazon hiring Data Scientist Intern

Position: Data Scientist Intern

Company:   Amazon

Locations: Bangalore, Hyderabad, Chennai

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About the Role:

Amazon is seeking highly motivated Data Scientist Interns with a passion for analytics, innovation, and leadership. This role involves designing, developing, and automating analytical models that enhance system performance and customer experience. Candidates with a background in Computer Science, Engineering, Operations Research, or Process Control will be especially well-suited.

This is a hands-on internship opportunity where you will work on meaningful problems and collaborate with experienced scientists and engineers. If you have experience integrating model-based engineering tools or applying multidisciplinary analysis and optimization, it's a significant plus.

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Key Responsibilities:

• Conduct data analysis and apply statistical techniques to enhance customer experience and business outcomes.

• Identify key metrics and develop predictive models to uncover the root causes of business challenges.

• Design and execute data-driven investigations and translate findings into actionable business recommendations.

• Lead cross-functional data science initiatives and ensure the highest standards of analytical quality and data accuracy.

• Tackle complex business problems and propose innovative, scalable solutions using advanced modeling and optimization techniques.

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Internship Requirements:

• Full-time commitment is mandatory during the internship period.

• Interns must not have conflicting academic responsibilities, projects, or other internships/employment.

• Any examination dates or academic obligations must be disclosed to the hiring manager in advance.

• Selected candidates must submit a signed declaration from their university confirming their full availability for the internship.

• Internship start is subject to successful submission of the availability declaration.

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Basic Qualifications:

• Must be 18 years or older.

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Preferred Qualifications:

• Proficiency in tools such as R, SAS, MATLAB, and SQL.

• Hands-on experience in data transformation, model development, validation, and scalable deployment.

• Familiarity with Machine Learning and Deep Learning frameworks like TensorFlow, PyTorch, Caffe, or MXNet.

• Exposure to big data ecosystems like Apache Spark and Hadoop.

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Additional Job Locations:

• Hyderabad, Telangana

• New Delhi, Delhi

• Chennai, Tamil Nadu

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