About The Data Scientist Role
We are seeking a skilled Data Scientist to design and implement data-driven solutions using AWS technologies for cloud data.
The role involves performing statistical analysis, developing predictive models, and creating interactive dashboards in AWS QuickSight to deliver actionable business insights.
You will support data pipelines, CI/CD workflows, and infrastructure automation while ensuring data quality and governance.
The ideal candidate combines strong technical expertise in Python, SQL, and AWS data tools with a deep understanding of analytics, visualization, and operational excellence in cloud environments.
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 to present findings
Maintain project documentation on SHIP-HATS Confluence
Track analytical tasks through SHIP-HATS Jira
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
Seniority Level
Entry level
Employment Type
Full-time
Job Function
Engineering and Information Technology
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