Data Scientist

ITCONNECTUS PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A data solutions company in Singapore is seeking a data analyst to perform data analysis, develop predictive models, and create interactive dashboards. Ideal candidates will have a strong background in data science, proficiency in Python/R/SQL, and experience with AWS data services. The role requires strong analytical skills and excellent documentation abilities.

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.
• Data visualization and dashboard development skills.
• Strong analytical thinking and problem-solving abilities.
• Excellent documentation and presentation skills.

Responsibilities

• Perform data analysis and statistical modelling using AWS Redshift data.
• Develop predictive models and machine learning algorithms.
• Create and maintain interactive dashboards in AWS QuickSight.
• Monitor and troubleshoot AWS Glue jobs and data ingestion processes.
• Document analytical methodologies and findings.

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