Amazon Hiring Freshers 2023 | For Data Scientist Intern

Amazon Hiring Freshers 2023 | For Data Scientist Intern | One of the Highest-paying job in IT

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Amazon Job opportunities with high earning potential :- Amazon Hiring freshers for Data Scientist Intern. Fresher and Check Below Details & Eligible Candidates can apply for this position. The detailed eligibility and application process are given below. And also visit our home page for Top-paying tech jobs.

 

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Amazon Hiring Freshers 2023

Company Name Amazon
Job Role Data Scientist Intern
Qualification Bachelor’s or Master’s Degree 
Branch Any Stream
Batch 2018, 19, 20, 21, 22, 23
Salary INR 8* LPA
Experience Freshers
Location Bengaluru, Hyderabad, India.

 

Roles and Responsibilities:

  1. Utilize data analysis and statistical techniques to enhance customer experience and inform business decision-making.
  2. Identify predictors and root causes of business-related issues and implement innovative forecasting and prediction approaches.
  3. Identify, develop, manage, and conduct analyses to uncover areas for improvement and present written business recommendations.
  4. Collaborate with multiple teams as a leader in quantitative analysis to develop solutions that adhere to the highest standards of analytical rigor and data integrity.
  5. Analyze and resolve business problems at their core.

“Amazon internships require full-time dedication. Interns should not have any conflicting commitments, including academic projects, classes, or other internships/employment during their internship tenure. Any exam-related obligations must be communicated to the hiring manager to plan for potential absences on those days. Specific team-specific working hour norms will be communicated by the hiring/reporting manager at the beginning of the internship. Candidates receiving internship offers will be required to submit a declaration of their availability to complete the entire duration of the internship, signed by a competent authority at their university. Internship commencement is contingent upon the successful submission of this declaration.”

 

Qualifications we seek in you! Minimum qualifications:

  • Demonstrated track record of delivering substantial analytical solutions with tangible business impact.
  • Proficiency in R/SAS/Matlab and SQL.
  • Strong Microsoft Office skills, including advanced Excel proficiency.
  • Strong problem-solving skills and a passion for working with large datasets.
  • Exceptional communication and data presentation skills.
  • Fluent in written and spoken English.
  • Master’s or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics, or a related technical discipline. Practical experience and project-based learning in computer science, engineering, or mathematics are preferred.
  • Academic experience in data manipulation/transformation, model selection, model training, cross-validation, and large-scale deployment.
  • Academic or project experience with machine learning and deep learning toolkits such as MXNet, TensorFlow, Caffe, and PyTorch.
  • Academic experience with Big Data platforms like Apache Spark and Hadoop.
  • Proficiency in data processing with Python, R, and SQL.
  • Familiarity with AWS services related to AI/ML is highly desirable, particularly Amazon EMR, AWS Lambda, SageMaker, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Green Grass, etc.

 

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Selection Process

  • Online Application Submission
  • Online Test- Aptitude Test, Technical Test
  • Interview
  • Selection

 

 

About Amazon

Amazon is one of the world’s largest e-commerce and cloud computing companies, founded in 1994 by Jeff Bezos. The company’s mission is to be Earth’s most customer-centric company, offering a wide range of products and services to customers worldwide. The company offers a variety of services, including Amazon Prime, which provides free shipping, streaming of movies and TV shows, and other benefits to members.  Amazon has revolutionized the way people shop and conduct business, and continues to be a dominant player in the e-commerce and technology industries.

 

 


 

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