Are you interested applying for an internship position, at Amazon, which is recognized as one of the technology companies worldwide? Amazon provides students with internship opportunities in fields, including e commerce, cloud computing and artificial intelligence.
This detailed guide will take you through all the steps to secure an internship, at Amazon in 2023. It covers everything from familiarizing yourself with the company and available roles to completing the application process and preparing for interviews. Lets begin!
Established in 1994 by Jeff Bezos Amazon initially started as an internet based bookstore. Has since expanded to become one of the technology corporations worldwide. Guided by Bezos customer focused approach and dedication to innovation the companys headquarters are situated in Seattle, Washington.
Presently Amazon employs, over 1.6 million individuals across the globe. Their operations encompass a range of services including running the worlds online marketplace offering cloud computing solutions to prominent organizations developing artificial intelligence advancements and manufacturing consumer electronics along with streaming video and music content.
Due to its recognition as one of the valuable brands globally interning at Amazon provides students with a unique opportunity to gain insights, into the inner workings of a pioneering technology innovator.
Company Website: www.amazon.com
Job Role: Data Scientist Intern
Qualification: Bachelor’s or MS or Ph.D., Masters or equivalent advanced degree
Batch: 202 3/ 2024 / 2025
Salary: ₹ 6 to 7 LPA
Job Location: Bangalore, Hyderabad, Chennai
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.
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Job Role and Responsibilities
- 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
- 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
- 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.
Amazon’s internship interview consists of one or more online interviews:
1. Coding Challenges – Test your programming skills by solving algorithms and data structure problems in real time. Communicate your approach clearly.
2. Technical Interview – Discuss your resume, projects, and internship interests. Expect questions on computer science fundamentals like data structures and OOP.
3. Leadership Principles Interview – Share examples that demonstrate Amazon’s leadership principles like Customer Obsession, Learn & Be Curious, and Dive Deep.
4. Manager Interview – Learn about the team’s mission and your potential role. Discuss goals, skills, and qualifications.
5. Additional Interviews – Some teams include more focused interviews assessing specific technical abilities.
- Review data structures (arrays, hash tables, trees, graphs) and algorithms
- Study OOP concepts like inheritance, abstraction, encapsulation
- Refresh knowledge of programming languages, databases, OS, networks
- Practice discussing projects and skills succinctly
- Research Amazon’s leadership principles and culture
- Think of specific examples that show your abilities and motivation
With diligent preparation and practice, you can highlight your skills and land an Amazon internship!
Amazon offers highly motivated students significant opportunities to gain experience and amplify their learning. Through meaningful projects, interns can impact Amazon’s global operations and develop technical and business skills.
By researching teams, customizing your documents, submitting a strong application, acing assessments, and preparing thoroughly for interviews, you can land a competitive Amazon internship. The effort is well worth it for hands-on experience at one of the most innovative technology companies today.
Good luck with your pursuit of an amazing internship at Amazon!
How to Apply For Amazon
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, login and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
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