Amazon Recruitment Data Scientist Intern, Latest Job Vacancy 2023

Amazon has announced a job opportunity for Data Scientist Intern. With this recruiting, you might make about approximately Rs. 30,000/- per month. Excellent opportunity for people looking for private job opportunities More details are given below.

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About Amazon

Amazon.com, Inc. is an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence. It has been often referred to as “one of the most influential economic and cultural forces in the world”, and is often regarded as one of the world’s most valuable brands. It is considered to be one of the Big Five American technology companies, alongside Alphabet (parent company of Google), Apple, Meta, and Microsoft.

Amazon Recruitment 2023 Overview

Company Name	Amazon
Role	Data Scientist Intern
Experience	Freshers
Salary	Approx ₹ 1,13000/- per month
Location	Tamil Nadu

Amazon Basic Qualification

• Ability to solve problems and passion for big data
• Strong communication and data presentation abilities
• Proficiency in both written and spoken English
• Excellent Microsoft Office abilities, including a solid working understanding of Excel
• Experience with R/SAS/Matlab and SQL;
• Record of delivering large analytical solutions with business impact

Amazon Preferred Qualification

• Academic experience in manipulating/transforming data, model selection, model training, cross-validation, and deployment at scale.
• Familiarity with data processing with Python, R & SQL.
• Academic or Project Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe, and PyTorch.
• 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.
• Academic Experience with Big Data platforms like Apache Spark and Hadoop.
• Master 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.