Amazon Recruitment 2023 | Data Scientist Intern

Amazon Recruitment 2023 for Data Scientist Intern. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.

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. Amazon’s success is built on its innovative technology, efficient supply chain management, and customer-focused approach. 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’s cloud computing platform, Amazon Web Services, is widely used by businesses and organizations worldwide for hosting and data storage. Amazon has revolutionized the way people shop and conduct business, and continues to be a dominant player in the e-commerce and technology industries.

Amazon Recruitment 2023

Company name	Amazon
Website	www.amazon.com
Job Role	Data Scientist Intern
Work Location	Chennai, Bengaluru, Hyderabad
Job Type	Internship
Experience	Freshers
Qualification	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.
Batch	Not mentioned
Package	30k Per Month (Expected)

Job Description

We are seeking motivated data scientists with strong leadership abilities and expertise in developing, automating, and executing analytical models for our systems. A background in Computer Science, Engineering, Operations Research, or Process Control is highly relevant to this role. Additionally, experience in integrating model-based engineering tools and multidisciplinary analysis & optimization is a valuable asset.

Locations: We have openings in Bangalore, Hyderabad, and Chennai.

Primary 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.”

We are considering candidates for positions in the following locations:

• Bengaluru, KA, IND
• Hyderabad, IND

Basic 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.

Preferred Qualifications:

• 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.

How to Apply?

• To apply for a job, read through all information provided on the job listing page carefully.
• Look for the apply link on the job listing page, usually located somewhere on the page.
• Clicking on the apply link will take you to the company’s application portal.
• Enter your personal details and any other information requested by the company in the application portal.
• Pay close attention to the instructions provided and fill out all necessary fields accurately and completely.
• Double-check all the information provided before submitting the application.
• Ensure that your contact information is correct and up-to-date, and accurately reflect your qualifications and experience.
• Submitting an application with incorrect or incomplete information could harm your chances of being selected for an interview.

Click Here To apply