About our group:

Material Science Laboratory provides service support analytical technique and scientific analysis for material, process, products on cleanliness, contamination, and failure analysis under Operation Quality and Analytic (OQ&A)

About the role - you will:

Design and develop a web-based dashboard/interface for lab operation control
Integrate the interface with Seagate's LIMS system using APIs or middleware.
Collaborate with lab engineers and data scientists to understand workflows and requirements
Ensure secure, scalable, and user-friendly design.
Document the development process and provide training materials for end users
Communicate status of projects and progress to supervisor
Summarize accomplishment, issue and relevant assignment as supervisor required

About you:

Basic understanding of LIMS System and lab workflows (Training will be provided)
Knowledge of web development frameworks (e.g React, Angular, or Vue.js)
Familiar with RESTFul APIs and data integration techniques
Understanding of database systems (SQL/No SQL)
Awareness of data privacy and security in lab environments
Proficiency in computer programming languages, Python, JavaScript, HTML/CSS, and C++.
Familiar with Linux, computer network, cloud, database, and virtual machine
Excellent teamwork, leadership and coachability
Fast learning, able to prioritize multiple tasks and work effectively in a dynamic environment.
Degree/master's in data science, statistics, computer, software, or electrical-related field
Capable of communicating in a complex technical knowledge with cross-functional team and presenting ideas.
Effective communication and presentation skills
Ability to effectively plan, manage timelines, control, deliverables independently and take responsibility for group's results
Able to prioritize multiple tasks, manage conflicting deadlines, and willingness to learn new tool and technologies quickly
Fluent in both spoken and written English communication

Your experience includes:

Good knowledge of IOT and web development or system integration
Having a good understanding of KNIME, Image Processing, MATLAB, Vision system, Data networking and coding
Experience in the data preparation process, image processing, image classification, data center management, machine leaning and AI projects

Location:

Korat, Thailand

Our Korat facility is our largest manufacturing site worldwide, with almost 20,000 employees. Here, our team produces cloud-based storage equipment, from individual storage components to finish drives. Our employees enjoy ample on-site parking as well as free shuttle vans and buses within the city of Korat, to and from Bangkok, and on the weekend to and from Khon Kaen University. At work you can grab a delicious breakfast, lunch, dinner or snacks at one of our 24-7 on-site canteens or coffee shop. We offer ping-pong, a running/walking trail, basketball and volleyball

teams, and classes in our on-site fitness center. We also have many on-site events and opportunities to give back to the local community.

Location: Korat Thailand
Travel: None

Data Scientist Intern

MSL (Material Science Lab) Intern Data Scientist (System development and Web Integration)