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Amazon Web Services Off Campus Freshers Hiring For Data Scientist Intern Role- Apply Now

Amazon Web Services Off Campus Details:

About Company: Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services — now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon’s expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost.

Job Profile: Data Scientist Intern

Company Name: Amazon Web Services (AWS)

Work Location: Bengaluru, Karnataka, India

Experience Required: Freshers

Degree Required: ME/MTech/MCA

Job Summary for Amazon Web Services Off Campus

DESCRIPTION



We are looking for motivated data scientists with excellent leadership skills, and the ability to develop, automate, and run analytical models of our systems. Academic and/or practical background in Computer Science, Engineering, Operations Research, or Process Control are particularly relevant for this position. Experience in the integration of model-based engineering tools and/or multidisciplinary analysis & optimization is also a plus.

Locations – Bangalore, Hyderabad, Chennai

Major Responsibilities for Amazon Web Services Off Campus

  • Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making
  • Identify predictors and causes of business related problems and implement novel approaches related to forecasting and prediction
  • Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations
  • Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity
  • Analyze and solve business problems at their root

“Amazon internships require full-time commitment. During the course of internship, interns should not have any conflicts including but not limited to academic projects, classes or other internships/employment. Any exam related details must be shared with the hiring manager to plan for absence during those days. Specific team norms around working hours will be communicated by the hiring/ reporting manager at the time of commencement of internship. Candidates receiving internship confirmation shall be required to submit declaration of their availability to complete the entire duration of internship, duly signed by a competent authority at their University. Internship commencement will be subject to successful submission of the declaration.”

Basic Qualifications for Amazon Web Services Off Campus

  • Record of delivering large analytical solutions with business impact
  • Experience on R/SAS/Matlab and SQL
  • Excellent Microsoft Office skills, including a strong working knowledge of Excel
  • Problem solving ability and passion for big data
  • Excellent communication and data presentation skills
  • Fluent written and spoken English

Preferred Qualifications for Amazon Web Services Off Campus

  • Masters or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics or related technical discipline. Hands-on experience and project based learning in computer science, engineering or mathematics is preferred.
  • Academic experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.
  • Academic or Project Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch.
  • Academic Experience with Big Data platforms like Apache Spark and Hadoop.
  • Familiarity with data processing with Python, R & SQL.
  • Familiarity with AWS services related to AI/ML highly desirable, particularly Amazon EMR, AWS Lambda, SageMaker, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Green Grass etc.

Apply Before the link Expires for Amazon Web Services Off Campus

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