Amazon Jobs internships require a full-time commitment. During the course of the internship, interns should not have any conflicts including but not limited to academic projects, classes, or other internships/employment. Any exam-related details must be shared with the hiring manager to plan for absence during those days. Specific team norms around working hours will be communicated by the hiring/ reporting manager at the time of the commencement of the internship. Candidates receiving internship confirmation shall be required to submit the declaration of their availability to complete the entire duration of the internship, duly signed by a competent authority at their University. Internship commencement will be subject to the successful submission of the declaration
About Amazon
A worldwide technology business based in the United States, Amazon.com, Inc. makes significant investments in digital streaming, cloud computing, online advertising, and artificial intelligence. It is frequently recognized as one of the most valuable brands in the world and has been referred to as โone of the most influential economic and cultural forces in the worldโ. Along with Apple, Microsoft, Appleโs parent company Alphabet, and Meta, it is one of the Big Five American technological firms.
Amazon Recruitmentย
Company Website: www.amazon.com
Job Role: Data Scientist Intern
Qualification: Bachelorโs / Masterโs Degree
Experience: Fresher
Batch: 2023 / 2022 / 2021 / 2020 / 2019
Salary: 4 LPA (Expected)
Job Location: Bangalore, Hyderabad, Chennai
Job Description
Amazon jobs vacancy 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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Eligibility
- Batch โ 2023 / 2022 / 2021 / 2020 / 2019
- Freshers are eligible
- Bachelorโs, or Masterโs degree
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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
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BASIC QUALIFICATIONS
- 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
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PREFERRED QUALIFICATIONS
- 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.
How to apply for jobs in Amazon India
- As always, read the information provided on this page first.
- After reading, scroll down and click on the apply link.
- You will be redirected to the official website.
- Enter all the required details.
- After entering the details check them and submit the application.
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