Senior Data Scientist II: Advanced Analytics & ML

Western Digital Corporation; Singapore; On-site; SGD 90,000 - 160,000; Full time

Job summary

Western Digital Corporation–Data Science team in Singapore develops analytics and ML solutions to solve complex business problems. You will work across data prep, model building, and app development using Python, SQL, Linux, and Docker to support enterprise outcomes.

You will automate data workflows, build predictive models, and deploy end-to-end analytics applications with dashboards in Tableau or Power BI, while validating performance in production and communicating insights to partners across

Qualifications

• Master's degree in a quantitative field such as Data Science, AI, Statistics, CS or Mathematics.
• Fresh graduates are welcome to apply.
• Proficiency in Python and SQL for data manipulation and modeling.
• Hands-on experience with ML algorithms spanning regression, classification, clustering, and deep learning.
• Familiarity with version control, Linux, and containerization.
• Experience building data visualizations using BI tools like Tableau or Power BI.

Responsibilities

• Automate data extraction, cleaning, processing, feature engineering, and exploration using Python, R, and SQL.
• Develop advanced ML and deep learning models for production use.
• Build end-to-end analytics apps covering data prep, model development, and integration.
• Create dashboards to visualize findings for operational decision-making.
• Validate and monitor deployed models, addressing drift and retraining.
• Document methodologies, data pipelines, and architecture with version control.
• Translate analytics into actionable insights for engineers and operations teams.
• Leverage AI-assisted tools while critically evaluating outputs.

Skills

Python

SQL

ML algorithms

Data visualization

Linux

Containerization

Education

Master's degree in Data Science or related field

Tools

Git

Docker

Power BI/Tableau

Job description

Western Digital Corporation–Data Science team in Singapore develops analytics and ML solutions to solve complex business problems. You will work across data prep, model building, and app development using Python, SQL, Linux, and Docker to support enterprise outcomes.

You will automate data workflows, build predictive models, and deploy end-to-end analytics applications with dashboards in Tableau or Power BI, while validating performance in production and communicating insights to partners across