data scientist

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

about the company

Our client is an international technology enterprise focused on building scalable, cutting-edge solutions across global operations. Driven by continuous innovation and technical excellence, our diverse teams work in a highly collaborative environment to tackle complex operational and data-driven challenges. We foster a culture where bright minds empower one another, pioneer smarter workflows, and deliver impactful technology on a global scale.

about the job

As a Data Scientist based in Singapore, you will leverage data, machine learning, and advanced analytics to optimize global enterprise operations and drive innovation across our technical ecosystem. You will translate complex functional requirements into scalable, high-impact data models and production-ready solutions.

• Model Development & Deployment: Design, validate, and deploy end-to-end predictive models and statistical algorithms to support global operations and digital workplace initiatives.
• Data Integration & Analytics: Extract, clean, and analyze complex datasets across cloud and enterprise systems to identify efficiency improvements and actionable insights.
• Cross-Functional Collaboration: Partner with global IT, engineering, and product teams to integrate analytical solutions into core infrastructure and business processes.
• Quality & Governance: Ensure data models and pipelines comply with technical architecture standards, cyber security, and global compliance regulations (e.g., GDPR).
• Continuous Innovation: Proactively identify opportunities to integrate emerging AI/ML tools, frameworks, and cloud capabilities into our tech stack.

skills and experience required

• Bachelor’s degree in Computer Science, Data Science, Statistics, Information Technology, or a related quantitative field.
• 3+ years of technical experience in data science, analytics, or machine learning, with a proven track record of driving results through cross-functional collaboration.
• Strong proficiency in Python or R, alongside advanced SQL skills for data manipulation and predictive modeling.
• Hands-on experience building and deploying cloud-based data solutions on AWS or GCP.
• Familiarity with data visualization platforms (e.g., Tableau, Power BI) and telemetry/network tools (e.g., SolarWinds, ThousandEyes).
• Exceptional analytical problem-solving capabilities and strong business communication skills.
• Cloud certifications (AWS, Azure, or GCP) or prior experience analyzing large-scale infrastructure and operational data are advantageous.

experience

2 years

skills

Python, R, SQL, Machine Learning, Predictive Modeling, AWS/GCP, Data Pipelines, Infrastructure Analytics, GDPR Compliance, and Cross-Functional Collaboration.

qualifications

Bachelor’s degree in Computer Science, Data Science, Statistics, Information Technology, or a related quantitative field.

education

Bachelor Degree