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Job Summary


Salary
$7,000 - $12,250 SGD / Monthly EST

Job Type
Permanent

Seniority
Principal

Years of Experience
Information not provided

Tech Stacks
Docker
Analytics
CI
Git
Kubernetes
SQL
JSON
Scala
MySQL
Python
Java

Job Description


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  • The Operations & Technology Advanced Analytics Group work for initiative helping our internal customers turn the data they have into the information they need to develop and deliver industry-leading storage solutions.
About The Role - You Will

  • Understand business requirement to build reliable data infrastructure using big data technologies
  • Identify, design and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security standards
  • Architect and create data views from big data store to feed into analysis engines, visualization engines etc.
  • Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues
  • Focus on Seagate advanced analytics projects related to Machine Learning (ML)
  • Develop data mining algorithms, perform data wrangling and exploration
  • Lead projects independently until results meet the internal stakeholder requirements
  • Mentor other data scientist
About You

  • Teamwork and self-motivated
  • Fast learning capability
  • Strong oral and written communication skills
  • Self-starter
  • Ability to drive initiatives and influence.
  • Ability to work alone as well as in a team environment
  • A collaborative attitude and a global mindset with an ability to work well with native and non-native English speakers
  • Able to participate in conference calls outside of regular local work hours
Your Experience Includes

  • Extensive years of experience in data processing using Scala/Python/Java
  • Experience in either computer vision, time-series forecasting, natural language processing and anomaly detection.
  • Hands on working experience in data mining, data wrangling, and experience with handling JSON, CSV files
  • Thesis or research experience in topics related to natural language processing, artificial intelligence, and machine learning would be a plus.
  • Hands on working experience with Docker, Kubernetes, CI/CD would be a plus.
  • Practical understanding of tools used throughout the development cycle, such as DevOps, Git etc
  • Working knowledge of databases (SQL Server, MySQL)
  • Manage and support Machine Learning pipelines
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. Ample free on-site parking is also available. 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. Our yogo and zumba classes are very popular. We also offer classes and interest groups in photography, gardening and foreign languages, and have various on-site celebrations, and community volunteer opportunities.

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