Senior Data Scientist

ITCONNECTUS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading data analytics company based in Singapore is seeking a Data Analyst to perform data analysis, develop predictive models, and create dashboards in AWS QuickSight. Ideal candidates will possess strong analytical skills, proficiency in Python and SQL, and experience with AWS services. This role offers the chance to work in a dynamic environment with a focus on data-driven decision-making.

Qualifications

• Strong background in data science, statistics, and machine learning.
• Proficiency in data analysis tools such as Python, R, and SQL.
• Experience with AWS data services like Redshift, QuickSight, S3, and Lambda.

Responsibilities

• Perform data analysis and statistical modelling using AWS Redshift.
• 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 prepare regular reports.

Skills

Data analysis

Machine learning

Data visualization

Statistical modeling

AWS Redshift

Python

R

SQL

CI/CD

Infrastructure as Code

Tools

AWS Glue

AWS QuickSight

GitLab

Jira

Confluence

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