Global Operations Data Scientist - ML & Cloud Analytics

Randstad Staffing; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Randstad Staffing is seeking a Data Scientist in Singapore to leverage data, ML, and analytics for global operations and innovation. Translate requirements into scalable data models and production-ready solutions.

Drive model deployment, data integration, and cross-functional collaboration with IT, engineering, and product teams. The role emphasizes strong Python/R skills, SQL proficiency, and cloud experience on AWS or GCP, plus familiarity with Tableau/Power BI and telemetry tools.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, IT or related field.
• 3+ years of technical experience in data science or analytics with cross-functional impact.
• Strong Python or R with advanced SQL for modeling and manipulation.
• Experience building cloud-based data solutions on AWS or GCP.
• Familiar with Tableau/Power BI and telemetry tools; business-ready visuals.
• Excellent analytical problem-solving and communication skills.
• Cloud certifications (AWS/Azure/GCP) are a plus.

Responsibilities

• Model Development & Deployment: design, validate, and deploy end-to-end predictive models.
• Data Integration & Analytics: clean, analyze and extract insights from complex datasets.
• Cross-Functional Collaboration: partner with IT, engineering and product teams.
• Quality & Governance: ensure pipelines meet standards and compliance requirements.
• Continuous Innovation: explore new AI/ML tools and cloud capabilities.

Skills

Python

R

SQL

Machine Learning

Predictive Modeling

AWS/GCP

Data Pipelines

Infrastructure Analytics

GDPR Compliance

Cross-Functional Collaboration

Education

Bachelor’s degree in Computer Science/Data Science/Statistics/IT

Tools

Tableau

Power BI

SolarWinds

ThousandEyes

Job description

Randstad Staffing is seeking a Data Scientist in Singapore to leverage data, ML, and analytics for global operations and innovation. Translate requirements into scalable data models and production-ready solutions.

Drive model deployment, data integration, and cross-functional collaboration with IT, engineering, and product teams. The role emphasizes strong Python/R skills, SQL proficiency, and cloud experience on AWS or GCP, plus familiarity with Tableau/Power BI and telemetry tools.