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

Job description

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