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