Online applications are invited for the Data Scientist Intern at Amazon, Bengaluru and Hyderabad. Check the reliability, duration and other details below!
About Amazon
Amazon.com, Inc. is an American multinational technology company based in Seattle, Washington, which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is one of the Big Five companies in the U.S. information technology industry, along with Google, Apple, Microsoft, and Facebook.
Job Description
Amazon is 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.
- Amazon 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 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.
Eligibility Criteria
- 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 you develop solutions that utilize the highest standards of analytical rigour and data integrity.
- Analyze and solve business problems at their root.
Qualification
- Record of delivering large analytical solutions with business impact
- Experience in 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
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 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?
Interested candidates can directly apply through this link.
Stipend
₹50,059 – ₹51,241
Note: Stipend information is taken from here!
Location
Bengaluru and Hyderabad
