Amazon is hiring Data Scientist Intern. Interested Candidates can go through the details and apply using the link provided at the bottom of the Post.
| Company name | Amazon |
| Website | www.amazon.com |
| Job Role | Data Scientist Intern |
| Work Location | Chennai, Bengaluru, Hyderabad |
| Job Type | Internship |
| Experience | Freshers |
| Qualification | Bachelor’s degree/ Masters’s degree |
| 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:
- Utilize data analysis and statistical techniques to enhance customer experience and inform business decision-making.
- Identify predictors and root causes of business-related issues and implement innovative forecasting and prediction approaches.
- Identify, develop, manage, and conduct analyses to uncover areas for improvement and present written business recommendations.
- 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.
- 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
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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.
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