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Data Scientist

USER EXPERIENCE RESEARCHERS PTE. LTD.

Re-open D27 Yishun, Sembawang $5,000.00 - $7,000.00

Posted: January 27, 2026

This job listing is sourced from MyCareersFuture.gov.sg, Singapore's official government job portal.

Job Description

Scope of Work:

1. Data Analysis & Insights

- Perform data analysis and statistical modelling using AWS Redshift data

- Develop predictive models and machine learning algorithms

- Generate actionable insights from large datasets

- Conduct data quality assessments and validation

2. Dashboard & Visualization Development

- Create and maintain interactive dashboards in AWS QuickSight

- Design data visualizations to support business decision-making

- Optimize dashboard performance and user experience

- Ensure data accuracy in reporting and visualizations

3. Data Pipeline & Engineering Support

- Monitor and troubleshoot AWS Glue jobs and data ingestion processes

- Support CI/CD pipelines with data-focused monitoring and validation

- Assist with GitLab pipeline configurations for data workflows

- Support AWS Lambda functions related to data processing

- Collaborate on Infrastructure as Code (IaC) for data infrastructure

4. Data Science Operations

- Monitor data pipelines and flag data quality issues

- Collaborate with technical teams on data requirements

- Support data governance and best practices implementation

- Assist in data model validation and testing

5. Documentation & Reporting

- Document analytical methodologies and findings

- Prepare regular reports on data insights and model performance

- Conduct monthly progress meetings (1 hour) to present findings

- Maintain project documentation on SHIP-HATS Confluence

- Track analytical tasks through SHIP-HATS Jira

Required Skills & Experience:

- 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

How to Apply

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