- Our team provides Data Analytics expertise and service to Design Engineering teams
- We enable deep dive into important and complex engineering issues by providing key parametric trends and characterizing system behavior using Data analysis tools and engineering concepts
- To develop Python-based Failure Prediction Machine Learning Algorithms
- To create scripts for Big Data query, pattern-recognition algorithms, file-transfer automation and Data Visualization to enable critical Data Analysis projects
- To support ad-hoc assignments related to product development, troubleshooting and failure analysis.
- 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 degree and/or equivalent experience
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Data Analytics - Singapur, Singapore - Seagate
Description
About the role - you will:
About you:
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. Take an active break at our badminton courts, table tennis tables, in-house gym and recreation rooms. We also offer classes and interest groups in photography, gardening and foreign languages, and have various on-site celebrations, and community volunteer opportunities.
Location: Shugart, Singapore
Travel: None
Location : Shugart, Singapore
Travel : None
Innovation thrives in a culture that embraces different voices, where employees are equal contributors and are empowered to express themselves authentically. Building this culture takes constant work and willingness to be transparent about progress. Read more in our Diversity, Equity, and Inclusion,.
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- 4th year in a row as a Best Employer for LGBTQ+ Equality
- 4th year in a row as a Best Company for Women in Technology