Amazon is hiring for the position of Data Scientist Intern in Bangalore, Chennai, Hyderabad, India. Candidates with Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Amazon |
| Position | Data Scientist Intern |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2020/ 2021/ 2022/ 2023/ 2024/ 2025 |
| Experience | Freshers/ Experienced |
| Location | Bangalore, Chennai, Hyderabad, India |
Key Responsibilities:
- Utilize data analysis and statistical methods to devise solutions aimed at enhancing the customer experience and providing guidance for business decision making.
- Identify factors and underlying causes of business-related issues and introduce innovative approaches for forecasting and prediction.
- Identify, create, oversee, and carry out analyses to unveil potential areas for improvement and present well-documented business recommendations.
- Collaborate effectively with multiple teams in a leadership role for quantitative analysis, ensuring the use of the highest standards of analytical rigor and data integrity in solution development.
- Analyze and address business problems at their core, aiming for root-cause solutions.
Eligibility Criteria:
- Demonstrated track record of delivering substantial analytical solutions that have a measurable impact on business outcomes.
- Proficiency in utilizing R, SAS, MATLAB, and SQL for data analysis.
- Profound expertise in Microsoft Office applications, with a strong command of Excel.
- Strong problem-solving capabilities and a genuine enthusiasm for working with large datasets.
- Exceptional communication skills for effective data presentation.
- Proficiency in both written and spoken English.
Preferred skills:
- A Master’s degree or an equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics, or a closely related technical field. Practical experience and project-based learning in computer science, engineering, or mathematics is highly valued.
- Academic experience in data manipulation, model selection, model training, cross-validation, and large-scale deployment.
- Academic or project experience with machine learning and deep learning frameworks like MXNet, TensorFlow, Caffe, and PyTorch.
- Academic exposure to Big Data platforms such as Apache Spark and Hadoop.
- Proficiency in data processing using Python, R, and SQL.
- Familiarity with AWS services related to Artificial Intelligence and Machine Learning, with a particular emphasis on Amazon EMR, AWS Lambda, SageMaker, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Green Grass, and similar technologies is highly desirable.
About Company:
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
How To Apply?
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