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Staff Data Scientist: Sputter Process & Equipment Analytics

Seagate Technology

Singapore

On-site

SGD 80,000 - 120,000

Full time

Today
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Job summary

A leading technology solution provider in Singapore is seeking a Staff Data Scientist to develop smart sputter process systems and enhance process control for high-performance products. You will collaborate with cross-functional teams to innovate and optimize production processes. Ideal candidates have a Bachelor's in relevant fields and expertise in programming languages like Python, R, and C++. Strong experience in data analytics and AI/ML deployment is essential. This role offers opportunities to drive impactful changes in the manufacturing environment.

Qualifications

  • Strong communication and interpersonal skills to build relationships with stakeholders.
  • Proven ability to thrive in a fast-paced, dynamic environment.
  • Experience in high-tech manufacturing settings is a plus.

Responsibilities

  • Develop the smart sputter process system for process control and quality assurance.
  • Refine monitoring systems for optimal product configuration.
  • Collaborate with cross-functional teams including Equipment, Process, Launch, and Maintenance.

Skills

Python
R Language
C++
C#
Machine learning
Deep learning
Data analytics
Statistical analysis
Data visualization
SQL Database
GitHub
Linux
Kubernetes
Dockers

Education

Bachelor’s degree in AI, data science, computer science, computer engineering, or related fields

Tools

Tableau
Job description
A leading technology solution provider in Singapore is seeking a Staff Data Scientist to develop smart sputter process systems and enhance process control for high-performance products. You will collaborate with cross-functional teams to innovate and optimize production processes. Ideal candidates have a Bachelor's in relevant fields and expertise in programming languages like Python, R, and C++. Strong experience in data analytics and AI/ML deployment is essential. This role offers opportunities to drive impactful changes in the manufacturing environment.
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