Seagate Technology | Data Analytics
2 weeks ago
Location: Shugart, SG
Posting Date: Sep 12, 2024
Job ID: 10822
About our group:
Our team provides Data Analytics expertise and service to Design Engineering teams.
We enable deep dives into important and complex engineering issues by providing key parametric trends and characterizing system behavior using data analysis tools and engineering concepts.
About the role - you will:
Develop Python-based Failure Prediction Machine Learning Algorithms.
Create scripts for Big Data query, pattern-recognition algorithms, file-transfer automation, and Data Visualization to enable critical Data Analysis projects.
Support ad-hoc assignments related to product development, troubleshooting, and failure analysis.
About you:
Good programming skills in Java/Python/PHP.
Good fundamentals in Machine Learning Algorithms.
Familiar with SQL Database.
Knowledge in Computer Engineering/Science or Electrical/Electronics Engineering fields.
Good analytical and interpersonal skills.
Self-motivated, independent, and a team player.
Bachelor's degree and/or equivalent experience.
Your experience includes:
Location:
The Shugart site (named after Seagate’s founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities.
About Us
With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape. We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
Seagate is powered by our talented, passionate, and diverse workforce of 40,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
Join us and get inspired to make a difference in the datasphere
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