Data Science Intern, Media Equipment Engineering at Seagate Technology
Singapore, Southeast, Singapore -
Full Time


Start Date

Immediate

Expiry Date

24 Apr, 25

Salary

0.0

Posted On

24 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Mysql, Matplotlib, Data Science, Platforms, Python, Numpy, Data Driven Decision Making, Computer Science, Software Integration, Data Aggregation, Analytics, Visualization, Pandas

Industry

Information Technology/IT

Description

ABOUT OUR GROUP:

The Recording Media Operation Media Equipment Engineering team are a team of professional Engineers working on developing various customized media processing equipment used in high volume media manufacturing. Our mission is to works on equipment enhancements to meet new processes needs, continuous improvements to improve product quality, yield and develop new technologies. We have embraced I4.0 technology and the team is continuously working on problem solving on manufacturing equipment and process

ABOUT YOU:

We are looking for a motivated individual with:

  • A strong interest in data science and the ability to derive insights from complex datasets.
  • Familiarity with sensors and basic understanding of their role in manufacturing processes.
  • Able to commit Summer internship programme

YOUR EXPERIENCE INCLUDES:

  • Currently pursuing a Bachelor Degree in Data Science/Engineering, Computer Science or a related field.
  • Experience developing data-driven projects using Python.
  • Proficiency in Python programming, particularly with libraries such as Numpy, Pandas, Matplot, pyHive & Scipy library.
  • Experience in doing software integration.
  • Knowledge of R programming & computer hardware is a plus.
Responsibilities

As an intern, you will actively contribute to key projects focused on data science and analytics. Your work will involve enhancing media processing tools by leveraging I4.0 technologies.

  • Work on data logging, extraction, and setup, applying analytics to drive data-driven decision-making.
  • Develop interactive dashboards using tools and platforms such as Python and MySQL.
  • Use Python libraries (Numpy, Pandas, Matplotlib) for data aggregation, analysis, and visualization.
  • Support in installing and configuring smart sensors to optimize media processing systems
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