Data Scientist

WSH Experts; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading data solutions provider in Singapore is looking for a Data Scientist to drive analytics and dashboard development. You'll analyze large datasets, develop predictive models, and create data visualizations to support business decisions. Proficiency in Python, R, SQL, and AWS data services is essential. This position offers a collaborative environment focused on data governance and quality improvements.

Qualifications

• Strong background in data science, statistics, and machine learning.
• Proficiency in data analysis tools (Python, R, SQL).
• Experience with AWS data services (Redshift, QuickSight, S3, Glue, Lambda).
• Data pipeline development and troubleshooting experience.
• Basic CI/CD pipeline knowledge (GitLab preferred).
• Infrastructure as Code (IaC) familiarity for data environments.

Responsibilities

• Perform data analysis and statistical modeling using AWS Redshift data.
• Develop predictive models and machine learning algorithms.
• Generate actionable insights from large datasets.
• Conduct data quality assessments and validation.
• Create and maintain interactive dashboards in AWS QuickSight.
• Design data visualizations to support business decision-making.

Skills

Data analysis

Machine learning

Data visualization

AWS services

Statistical modeling

CI/CD knowledge

Problem-solving

Documentation

Tools

Python

R

SQL

AWS Redshift

AWS QuickSight

AWS Glue

GitLab

Job description

Job Location – Paya Lebar

Working Days & Hours – 5 days, 8:30 AM to 6 PM

Job Responsibilities

• Data Analysis & Insights

1. Perform data analysis and statistical modelling using AWS Redshift data
2. Develop predictive models and machine learning algorithms
3. Generate actionable insights from large datasets
4. Conduct data quality assessments and validation

• Dashboard & Visualization Development

1. Create and maintain interactive dashboards in AWS QuickSight
2. Design data visualizations to support business decision-making
3. Optimize dashboard performance and user experience
4. Ensure data accuracy in reporting and visualizations

• Data Pipeline & Engineering Support

1. Monitor and troubleshoot AWS Glue jobs and data ingestion processes
2. Support CI/CD pipelines with data-focused monitoring and validation
3. Assist with GitLab pipeline configurations for data workflows
4. Support AWS Lambda functions related to data processing
5. Collaborate on Infrastructure as Code (IaC) for data infrastructure

• Data Science Operations

1. Monitor data pipelines and flag data quality issues
2. Collaborate with technical teams on data requirements
3. Support data governance and best practices implementation
4. Assist in data model validation and testing

• Documentation & Reporting

1. Document analytical methodologies and findings
2. Prepare regular reports on data insights and model performance
3. Conduct monthly progress meetings to present findings
4. Maintain project documentation on SHIP-HATS Confluence
5. Track analytical tasks through SHIP-HATS Jira

Job Requirements

• Strong background in data science, statistics, and machine learning
• Proficiency in data analysis tools (Python, R, SQL)
• Experience with AWS data services (Redshift, QuickSight, S3, Glue, Lambda)
• Data pipeline development and troubleshooting experience
• Basic CI/CD pipeline knowledge (GitLab preferred)
• Infrastructure as Code (IaC) familiarity for data environments
• Data visualization and dashboard development skills
• Strong analytical thinking and problem-solving abilities
• Excellent documentation and presentation skills

If the requirement matches with your profile, kindly share your updated CV/resume to Aparna at [e-mail].