Global Data Scientist — ML, Cloud & Analytics

Randstad Singapore; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Randstad Singapore is seeking a Data Scientist based in Singapore to leverage data, ML, and analytics to optimize global enterprise operations and drive innovation. You will translate complex requirements into scalable data models and production-ready solutions.

Responsibilities include model development, data integration across cloud systems, cross-functional collaboration, governance, and continuous innovation with AI/ML tools.

Qualifications

• Bachelor’s degree in a quantitative field is required.
• 3+ years in data science, analytics, or ML with cross-functional impact.
• Strong Python or R and advanced SQL for modeling and data manipulation.
• Experience deploying cloud-based data solutions on AWS or GCP.
• Visualisation tools and telemetry knowledge are preferred.

Responsibilities

• Develop end-to-end predictive models and analytics to optimize global operations.
• Integrate data solutions across cloud and enterprise systems.
• Collaborate with IT, engineering, and product teams to embed analytics in core workflows.
• Ensure data governance, security, and compliance in models and pipelines.
• Explore AI/ML innovations and cloud capabilities to enhance the tech stack.

Skills

Cross-functional collaboration

Analytical problem solving

Business communication

Cloud technology familiarity

Python or R

SQL proficiency

Education

Bachelor's degree in Computer Science, Data Science, Statistics, IT or related field

Tools

Python

R

SQL

AWS

GCP

Tableau

Power BI

SolarWinds

ThousandEyes

Job description

Randstad Singapore is seeking a Data Scientist based in Singapore to leverage data, ML, and analytics to optimize global enterprise operations and drive innovation. You will translate complex requirements into scalable data models and production-ready solutions.

Responsibilities include model development, data integration across cloud systems, cross-functional collaboration, governance, and continuous innovation with AI/ML tools.