Data Scientist

USER EXPERIENCE RESEARCHERS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading data solutions firm in Singapore is seeking a skilled Data Analyst to perform data analysis, create dashboards, and support data pipeline engineering. The ideal candidate should have a strong background in data science and machine learning, with proficiency in tools like Python and AWS. Responsibilities include monitoring data quality, creating visualizations, and developing predictive models. This role offers opportunities to work on cutting-edge technology in a collaborative environment.

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).

Responsibilities

• Perform data analysis and statistical modeling using AWS Redshift.
• Create and maintain interactive dashboards in AWS QuickSight.
• Monitor and troubleshoot AWS Glue jobs and data ingestion processes.

Skills

Data science

Statistics

Machine learning

Python

R

SQL

AWS Redshift

AWS QuickSight

Data visualization

Problem-solving

Tools

AWS Glue

AWS Lambda

GitLab

SHIP-HATS Confluence

SHIP-HATS Jira

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