About Amazon:
Amazon.com, Inc. is an American multinational conglomerate that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is one of the Big Five companies in the U.S.
Job Description:
Amazon Off Campus 2023 is hiring candidates for the post of Data Scientist Intern
Job 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
Eligibility Criteria:
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.
Preferred skill:
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