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Applications are invited from eligible candidates for the Data Scientist Internship at Amazon, Bengaluru. Read the complete details below:
About Amazon:
Amazon.com, Inc. is an American multinational technology company 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, Meta, and Microsoft.
About Internship:
Amazon’s looking for Data Scientist to optimize one of the most complex logistics systems in the world. 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.
Major 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.
BASIC QUALIFICATIONS:
- Pursuing Masters or equivalent advanced degree from a top tier Technology school.
- 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.
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.
