Data Scientist

WSH Experts Pte Ltd; Singapore; On-site; SGD 100,000 - 140,000; Full time

Job summary

WSH Experts Pte Ltd is seeking a data scientist/analyst to perform data analysis, build predictive models, and generate actionable insights from large datasets. The role includes creating dashboards in AWS QuickSight and ensuring data quality across pipelines.

The candidate will collaborate on data governance, IaC for data infra, and contribute to CI/CD pipelines using GitLab. Strong analytical skills and solid documentation are required.

Qualifications

• Strong background in data science, statistics and ML.
• Proficiency in Python, R, and SQL for data analysis.
• Experience with AWS data services: Redshift, QuickSight, S3, Glue, Lambda.

Responsibilities

• Analyze data and build statistical models and predictive algorithms.
• Develop and maintain dashboards in AWS QuickSight for business insights.
• Monitor and optimize data pipelines and CI/CD processes for data workflows.
• Collaborate on IaC for data infrastructure and data governance practices.
• Document methodologies and present findings in regular meetings.

Skills

Python

R

SQL

AWS Redshift

AWS Glue

AWS QuickSight

Machine Learning

Data Visualization

Tools

GitLab

Terraform

AWS Lambda

Job description

Job Description

Job Responsibilities

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
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
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
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
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

Job Requirement

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