Job Openings Data Scientist

About the job Data Scientist

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