Data Scientist

October 17, 2025
$8000 - $10000 / month
Application ends: November 17, 2025
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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