Data Science Intern - Real-Time Analytics & Visualization

Hewlett Packard Enterprise; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Hewlett Packard Enterprise in Singapore invites a College Intern - Data Science to join an enterprising engineering team. You will work to digitally accelerate operations by tracking, analyzing and visualising manufacturing and outbound quality for HP products.

Responsibilities include designing, building and maintaining data infrastructure and pipelines, developing data models, ensuring data quality and security, and generating actionable insights using Python/Java, SQL, and AWS tools (S3,

Qualifications

• Pursuing or holding a Bachelor's in CS/IS/Industrial Eng.
• Strong programming knowledge in Python/Java and SQL databases.

Responsibilities

• Work with an enterprising team to digitally accelerate operations and provide solutions to track, analyze and visualize the manufacturing operations and outbound quality of our products.
• Design, build and maintain data infrastructure, pipelines and architecture to support data-driven initiatives.
• Develop data models, create robust processes and ensure data quality and security.
• Ability to work with AWS tools such as S3, SageMaker, Lambda, Glue and Redshift.
• Create and maintain high-quality documentation for systems, processes, codebases and workflows.
• Generate actionable insights through the analysis of data and understanding of operational processes.
• Develop methodologies for optimizing our business processes through data visualization, real-time monitoring, predictive analytics etc.

Skills

Python

Java

SQL

Data visualization

Analytical thinking

Dashboards

AWS

Education

Bachelor’s degree in Computer Science, Information Systems or Industrial Engineering

Tools

S3

SageMaker

Lambda

Glue

Redshift

Job description

Hewlett Packard Enterprise in Singapore invites a College Intern - Data Science to join an enterprising engineering team. You will work to digitally accelerate operations by tracking, analyzing and visualising manufacturing and outbound quality for HP products.

Responsibilities include designing, building and maintaining data infrastructure and pipelines, developing data models, ensuring data quality and security, and generating actionable insights using Python/Java, SQL, and AWS tools (S3,