Data Scientist Intern at Seagate Technology LLC - Singapore
Nakhon Ratchasima City Municipality, , Thailand -
Full Time


Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Data Analysis, Python, R, SQL, Analytical Skills, Problem-Solving, Communication, Teamwork

Industry

Computer Hardware Manufacturing

Description
About our group: Since 1979, Seagate has been creating precision-engineered data storage technologies that deliver superior capacity, speed, safety, and performance. We are a diverse workforce of 40,000 creative, hard-working, passionate people all over the world—Silicon Valley, the Southeast Asia, India, China, the United Kingdom, and beyond. At Seagate, we know that data is always in motion, alive, connected—and we harness it in order to maximize human potential. Seagate’s Global Factory Information Technology (GFIT) organization is a global team with resources around our high-tech manufacturing sites located in the United States, Asia, and Northern Ireland. We’re a global organization servicing the IT needs of R&D, Engineering, Manufacturing and Equipment management for Seagate Global Factory. Our team embraces Scaled Agile Framework (SAFe), a popular framework that improves project delivery, decreased time-to-market, and increased stakeholder value. Our team is one of the pioneers to adapt various tools and languages striving toward IT 4.0About the role - you will: We are looking for a passionate and curious Data Scientist Intern to join our team and contribute to the development of predictive maintenance solutions for industrial machinery. This internship offers hands-on experience in applying data science and machine learning techniques to real-world problems in manufacturing and operations. We are looking for a passionate and curious Data Scientist Intern to join our team and contribute to the development of predictive maintenance solutions for industrial machinery. This internship offers hands-on experience in applying data science and machine learning techniques to real-world problems in manufacturing and operations.About you: Knowledge of machine learning libraries such as scikit-learn, pandas, NumPy, or TensorFlow is a plus. Strong analytical and problem-solving skills. Good communication and teamwork abilities. Your experience includes: Currently pursuing a Bachelor’s or Master’s degree in IT, Computer Science, Mathematics, or a related field. Familiarity with Python or R for data analysis and machine learning. Basic understanding of SQL and data querying. Location: Korat, Thailand Our Korat facility is our largest manufacturing site worldwide, with more than 10,000 employees. Here, our team produces cloud-based storage equipment, from individual storage components to finished drives. Employees enjoy ample on-site parking, free shuttle vans and buses within the city of Korat, as well as transportation to and from Bangkok and Khon Kaen province on weekends. At work, you can grab a delicious breakfast, lunch, dinner, or snacks at one of our 24/7 on-site canteens or coffee shops. We offer table tennis, basketball, volleyball, a running/walking trail, and exercise classes in our on-site fitness center. In addition, there are relaxing spaces with comfortable seating both indoors and outdoors, perfect for taking a break during the day. Additionally, consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate Asia’s parents and caregivers group. We also have many on-site recreation events and opportunities to give back to the local community.   Location: Korat Thailand Travel: None

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
The Data Scientist Intern will contribute to the development of predictive maintenance solutions for industrial machinery. This role involves applying data science and machine learning techniques to real-world problems in manufacturing and operations.
Loading...